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Statistics Reviewer Sample, Exams of Statistics

STI Colleges and Education Centers (STICEC)Statistics

Sample Reviewer - Statistics Sample Reviewer - Statistics

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Multiple Choice Quiz in Statistics (With Answers) | EducatorsFiles.com
Introduction to Statistics
1. Analysis of labor turnover rates, performance appraisal, training programs and planning of incentives are
examples of role of
a. statistics in personnel management c. statistics in finance
b. statistics in marketing d. statistics in production
2. Focus groups, individual respondents and panels of respondents are classified as
a. pointed data sources c. itemized data sources
b. secondary data sources d. primary data sources
3. Variables whose measurement is done in terms such as weight, height and length are classified as
a. continuous variables c. measuring variables
b. flowchart variables d. discrete variables
4. Technique used to analyze unemployment rate, inflation rate anticipation and capacity utilization to
manufacture goods is classified as
a. data supplying technique c. forecasting technique
b. data importing technique d. data exporting technique
5. Numerical methods and graphical methods are specialized procedures used in
a. social statistics c. business statistics
b. descriptive statistics d. education statistics
6. Measure of how well is a technique, concept or process is considered as
a. continuity of variables c. goodness of variables
b. validity d. reliability
7. Branch of statistics which considers ratio scale and interval scale is considered as
a. parametric statistics c. non-parametric statistics
b. distribution statistics d. sampling statistics
8. Reports on quality control, production and financial accounts issued by companies are considered as
a. external secondary data sources c. internal secondary data sources
b. external primary data sources d. internal primary data sources
9. In every phenomenon, process of thought that focus on identifying, controlling and reduction of variations in
data is classified as
a. parallel thinking c. serial thinking
b. statistical thinking d. managerial thinking
10. Scale which categorize events in collectively exhaustive manner and mutually exclusive manner is classified as
a. discrete scale c. continuous scale
b. valid scale d. nominal scale
11. Type of rating scale which allows respondents to choose most relevant option out of other stated options is
classified as
a. marking rating scale c. graphical rating scale
b. itemized rating scale d. pointed rating scale
12. Government and non-government publications are considered as
a. external secondary data sources c. internal secondary data sources
b. external primary data sources d. internal primary data sources
13. Type of variable which can take fixed integer values is classified as
a. flowchart variable c. discrete variable
b. continuous variable d. measuring variables
14. Data which is generated within company such as routine business activities is classified as
a. external primary data sources c. internal primary data sources
b. external secondary data sources d. internal secondary data sources
15. Question which have different answers for its subparts is considered as
a. double barreled questions c. single barreled questions
b. multiple barreled questions d. dichotomous questions
16. Analytical study of relationship between output commodity and its price is classified as
a. demand analysis c. supply analysis
b. imports analysis d. export analysis
17. Process of converting inputs into outputs in presence of repeatedly same conditions is classified as
a. Sampler c. parameters
b. Process d. mixer
18. Branch of statistics which deals with development of particular statistical methods is classified as
a. industry statistics c. economic statistics
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Multiple Choice Quiz in Statistics (With Answers) | EducatorsFiles.com Introduction to Statistics

  1. Analysis of labor turnover rates, performance appraisal, training programs and planning of incentives are examples of role of a. statistics in personnel management c. statistics in finance b. statistics in marketing d. statistics in production
  2. Focus groups, individual respondents and panels of respondents are classified as a. pointed data sources c. itemized data sources b. secondary data sources d. primary data sources
  3. Variables whose measurement is done in terms such as weight, height and length are classified as a. continuous variables c. measuring variables b. flowchart variables d. discrete variables
  4. Technique used to analyze unemployment rate, inflation rate anticipation and capacity utilization to manufacture goods is classified as a. data supplying technique c. forecasting technique b. data importing technique d. data exporting technique
  5. Numerical methods and graphical methods are specialized procedures used in a. social statistics c. business statistics b. descriptive statistics d. education statistics
  6. Measure of how well is a technique, concept or process is considered as a. continuity of variables c. goodness of variables b. validity d. reliability
  7. Branch of statistics which considers ratio scale and interval scale is considered as a. parametric statistics c. non-parametric statistics b. distribution statistics d. sampling statistics
  8. Reports on quality control, production and financial accounts issued by companies are considered as a. external secondary data sources c. internal secondary data sources b. external primary data sources d. internal primary data sources
  9. In every phenomenon, process of thought that focus on identifying, controlling and reduction of variations in data is classified as a. parallel thinking c. serial thinking b. statistical thinking d. managerial thinking
  10. Scale which categorize events in collectively exhaustive manner and mutually exclusive manner is classified as a. discrete scale c. continuous scale b. valid scale d. nominal scale
  11. Type of rating scale which allows respondents to choose most relevant option out of other stated options is classified as a. marking rating scale c. graphical rating scale b. itemized rating scale d. pointed rating scale
  12. Government and non-government publications are considered as a. external secondary data sources c. internal secondary data sources b. external primary data sources d. internal primary data sources
  13. Type of variable which can take fixed integer values is classified as a. flowchart variable c. discrete variable b. continuous variable d. measuring variables
  14. Data which is generated within company such as routine business activities is classified as a. external primary data sources c. internal primary data sources b. external secondary data sources d. internal secondary data sources
  15. Question which have different answers for its subparts is considered as a. double barreled questions c. single barreled questions b. multiple barreled questions d. dichotomous questions
  16. Analytical study of relationship between output commodity and its price is classified as a. demand analysis c. supply analysis b. imports analysis d. export analysis
  17. Process of converting inputs into outputs in presence of repeatedly same conditions is classified as a. Sampler c. parameters b. Process d. mixer
  18. Branch of statistics which deals with development of particular statistical methods is classified as a. industry statistics c. economic statistics

b. applied statistics d. mathematical statistics

  1. Type of variable which can take any numerical figure for calculation is classified as a. continuous variable c. measuring variable b. flowchart variable d. discrete variable
  2. Tools such decision making by nominal groups, brain storming and term buildings are all considered as a. serial tools c. behavioral tools b. statistical tools d. parallel tools
  3. One of category of statistical method is a. managerial statistics c. decision science b. inferential statistics d. industry statistics
  4. Branch of statistics in which data is collected according to ordinal scale or nominal scale is classified as a. distribution statistics c. sampling statistics b. parametric statistics d. non-parametric statistics
  5. Time frame to complete a transaction in bank is classified as a. Parameters c. process b. Mixer d. sampler
  6. Type of rating scale which represents response of respondents by marking at appropriate point is classified as a. graphic rating scale c. responsive scale b. pointed scale d. marking scale
  7. Scale which is used to determine ratios equality is considered as a. satisfactory scale c. ratio scale b. goodness scale d. exponential scale
  8. Measurement scale which allows researchers and statisticians to perform certain operations on data collected from respondents is classified as a. interval scale c. flow measuring scale b. validity scale d. reliability scale
  9. Type of questions included in questionnaire to record responses in which respondent can answer in any way are classified as a. multiple choices c. itemized question b. open ended questions d. close ended questions
  10. Numerical or descriptive measure which is associated with variable to describe entire population of statistical phenomenon is classified as a. Mixer c. sampler b. Parameter d. process
  11. Scale used in statistics which provides difference of proportions as well as magnitude of differences is considered as a. satisfactory scale c. ratio scale b. goodness scale d. exponential scale
  12. Measurement scale in which values are categorized to represent qualitative differences and ranked in meaningful manner is classified as a. valid scale c. discrete scale b. ordinal scale d. continuous scale
  13. Measurement of how well particular concept and technique measures variables is classified as a. Reliability c. validity b. continuity of variables d. goodness of variables
  14. Data measurement which arises from a specific process of counting is classified as a. continuous data c. discrete data b. reliable data d. valid data
  15. Characteristics that are intended to be analyzed and investigated for a given population are classified as a. Exponents c. constants b. Variables d. exponential base
  16. If vertical lines are drawn at every point of straight line in frequency polygon then by this way frequency polygon is transformed into a. width diagram c. length diagram b. histogram d. dimensional bar charts
  17. Discrete variables and continuous variables are two types of a. open end classification c. time series classification b. qualitative classification d. quantitative classification
  18. In stem and leaf display diagrams used in exploratory analysis, stems are considered as
  1. Number of observations are 30 and value of arithmetic mean is 15 then sum of all values is a. 15 c. 450 b. 200 d. 45
  2. Value of Σfx is 180, A= 22, and width of class interval is 5, arithmetic mean is 120 then observations are a. 59 c. 30 b. 39.5 d. 49.
  3. Value of Σfx is 300, A= 35, number of observations are 15 and width of class interval is 5 then arithmetic mean is a. 135 c. 145 b. 150 d. 235
  4. Quartiles, median, percentiles and deciles are measures of central tendency classified as a. paired average c. deviation averages b. positioned averages d. central averages
  5. Considering probability distribution, if mode is greater than median then distribution is classified as a. variable model c. right skewed b. left skewed d. constant model
  6. Frequency distribution whose most values are dispersed to left or right of mode is classified as a. Skewed c. explored b. Bimodal d. unimodal
  7. If arithmetic mean is 25 and harmonic mean is 15 then geometric mean is a. 17.36 c. 16. b. 15.36 d. 19.
  8. If central tendency is found by using whole population as input data then this is classified as a. sample statistic c. population statistic b. population tendency d. population parameters
  9. Criteria of inferential statistics which considers sum of squared deviations is classified as. a. central squares criterion c. outliers square criterion b. multiple squares criterion d. least squares criterion
  10. In a negative skewed distribution, order of mean, median and mode is as a. meanmode c. mean>median>mode b. mean<median<mode d. mean>median<mode
  11. Measure which describes detailed characteristic of whole data set is classified as a. average or central value c. positive skewed value b. negative skewed value d. positive extended value
  12. In arithmetic mean, sum of deviations of all recorded observations must always be a. Two c. minus one b. One d. zero
  13. Distribution whose outliers are higher values is considered as a. variable model c. right skewed b. left skewed d. constant model
  14. In quartiles, central tendency median to be measured must lie in a. first quartile c. second quartile b. third quartile d. four quartile
  15. Arithmetic mean is 12 and number of observations are 20 then sum of all values is a. 8 c. 32 b. 240 d. 1.
  16. At a grocery store, number of per day sold processed fruits cans in 15 days are 50, 70, 60, 40, 30, 20, 5, 150, 55, 75, 65, 45, 35, 25, 52 then outliers in observations are a. 50, 150 c. 5, 150 b. 25, 70 d. 150
  17. Measure of central tendency which represents over time multiplicative effects for inflation and compound interest is considered a a. deviation square mean c. paired mean b. geometric mean d. harmonic mean
  18. Around central value of observations, extent to which values depart from normal distribution is classified as a. negative variation c. positive variation b. skewness d. positive trailing
  1. Product W has per unit contribution of 8 with sold quantity of 124 units, product X has per unit contribution of 5 with sold quantity of 105 units, product Y has per unit contribution of 9 with sold quantity of 135 units, product Z has per unit contribution of 12 with sold quantity of 140 units then weighted average mean is a. $11.75 c. $10. b. $9.75 d. $8.
  2. In measure of central tendency, population parameter is denoted by a. Greek letter μ c. roman letter μ b. Athens letter μ d. roman letter x‾
  3. Type of central tendency measures which divides data set into 100 equal parts is classified as a. Quartiles c. deciles b. Percentiles d. multiple pile of data
  4. If value of three measures of central tendencies median, mean and mode then distribution is considered as a. negatively skewed modal c. triangular model b. unimodal d. bimodal
  5. If central tendency is found by using sample data from population then this is classified as a. tendency statistic c. average statistic b. sample statistic c. population statistic
  6. Product A has per unit contribution of 6 with sold quantity of 120 units, product B has per unit contribution of 8 with sold quantity of 100 units and product C has per unit contribution of 10 with sold quantity of 130 units then weighted average mean is a. $7.06 c. $8. b. $9.06 d. $10.
  7. If value of mode is 14 and value of arithmetic mean is 5 then value of median is a. 12 c. 18 b. 8 d. 14
  8. Concept used in calculation of index numbers and where smaller observations must be taken into consideration is called a. deviation square mean c. paired mean b. geometric mean d. harmonic mean
  9. Distribution which has outliers with relatively lower values is considered as a. experimentally skewed c. exploratory skewed b. positively skewed d. negatively skewed
  10. Calculation of average which is calculated by pooling data together from different data sets is classified as a. geometric mean c. harmonic mean b. deviation square mean d. paired mean
  11. If arithmetic mean is 20 and harmonic mean is 30 then geometric mean is a. 14.94 c. 24. b. 34.94 d. 44. Measures of Dispersion
  12. If quartile range is 24 then quartile deviation is a. 48 c. 12 b. 24 d. 72
  13. If mean absolute deviation of set of observations is 8.5 then value of quartile deviation is a. 7.08 c. 9. b. 10.2 d. 11.
  14. Sum of all squared deviations is divided by total number of observations to calculate a. population deviation c. population variance b. sample deviation d. sample variance
  15. For recorded observation, ratios measured by absolute variation are considered as a. non-relative measures c. relative measures b. high uniform measures d. low uniform measures
  16. If arithmetic mean is multiplied to coefficient of variation then resulting value is classified as a. coefficient of deviation c. coefficient of mean b. standard deviation d. variance
  17. If arithmetic mean is considered as average of deviations then resultant measure is considered as a. close end deviation c. mean absolute deviation b. mean deviation d. variance deviation
  18. If positive square root is taken of population variance then calculated measure is transformed into a. standard root c. standard deviation

a. larger value of quartile deviation c. smaller value of quartile deviation b. larger value of range deviation d. smaller value of range deviation

  1. Relative measures in measures of dispersion are also considered as a. coefficient of deviation c. coefficient of average b. coefficient of variation d. coefficient of uniformity
  2. Standard deviation is divided by coefficient of variation to calculate a. arithmetic mean c. coefficient of arithmetic b. coefficient of variance d. multiplier of deviation
  3. If standard deviation is 7 then mean absolute deviation is a. 9.75 c. 5. b. 7 d. 8.
  4. According to empirical rule, standard deviation and mean interval that covers approximately 99.75% of data from a frequency distribution is a. 4μ±4σ c. 3μ±3σ b. μ±3σ d. 2μ±2σ
  5. Theorem which states least percentage of values that fall within z-standard deviations is classified as a. Chebyshev's Theorem c. sampling theorem b. Pearson Theorem d. population theorem
  6. Categories of measures of dispersion are classified as a. uniform measures c. relative measures b. absolute measures d. both b and c
  7. Population variance is also called. a. sigma squared c. negative sigma b. square root d. cubic root
  8. Lesser uniformity of 50% observations around median value is indicated with help of a. larger value of range deviation c. smaller value of range deviation b. larger value of quartile deviation d. smaller value of quartile deviation
  9. If large number of values lies in central part of data table then spread of values is measured by a. percentile range c. inter quartile range b. quartile range d. deciles range
  10. Formula which considers relationship between set of observations, standard deviation and mean is classified as a. empirical value c. three way rule b. normal rule d. both a and b
  11. If calculated value of total sum of squares in sample variance is larger than variation in data set is considered as a. Smaller c. greater b. Zero d. negative
  12. Standard deviation of data is 12 and mean is 72 then coefficient of variation is a. 14.67% c. 16.67% b. 12.67% d. 13.67%
  13. Value of third quartile is 61 and inter quartile range of set of observation is 48 then value of first quartile is a. 24 c. 34 b. 64 d. 13
  14. If in a formula, mean absolute deviation is numerator and arithmetic mean is denominator then resultant value is classified as a. coefficient of mean deviation c. coefficient of absolute quartile deviation b. coefficient of quartile range deviation d. coefficient of mean absolute deviation
  15. Technique which implies in statistical process to measure variation in data is called a. measures of dispersion c. measures of statistics b. measures of process d. none of above
  16. If standard deviation is 5 then quartile deviation is a. 5 c. 0. b. 0.234 d. 0.
  17. Value of third quartile is 72, second quartile is 52 and first quartile is 45 then quartile deviation is a. 13.5 c. 14 b. 16.5 d. 18.
  18. Undesirable consequences which causes estimated population variance to appear less as compared to real results are classified as

a. undesired error c. bias b. non-calculate error d. non-zero error

  1. Measuring theorem which helps in determining proportion of observations for specific interval of mean and standard deviation is classified as a. Pearson Theorem c. Chebyshev's Theorem b. sampling theorem d. population theorem
  2. Considering individual values of data set, actual mean must always be a. 1 c. − 1 b. 0 d. 2
  3. Considering set of observations, percentage of values that lies within population mean plus two standard deviations is a. 60% c. 55% b. 75% d. 85%
  4. Measure of variation which is useful for highly skewed distribution is a. inter quartile deviation c. quartile deviation b. inter quartile range d. quartile range
  5. Sum of highest and lowest value is 80 and coefficient of range is 0.625 then difference between highest and lowest value is a. 70 c. 100 b. 150 d. 50
  6. Formula written as quartile deviation divided by sum of third and first quartile is used to calculate a. coefficient of quartile deviation c. coefficient of quartiles b. coefficient of inter quartiles d. coefficient of central tendency
  7. Standard deviation of first 50 natural numbers is a. 45.43 c. 14. b. 20.43 d. 16.
  8. Standard deviation of population is denoted by a. Ω c. ω b. σ d. Σ
  9. Output of 20 workers in hand made pot painting store is as 55, 65, 62, 60, 74, 75, 65, 70, 70, 72, 67, 78, 79, 80, 68, 54, 56, 63, 69, 71 then coefficient of range is a. 0.29 c. 0. b. 0.49 d. 0.
  10. If arithmetic mean is 78 and coefficient of variation is 12.3% then standard deviation is a. 10.594 c. 9. b. 8.59 d. 11
  11. Value of first quartile is 23 and inter quartile range is 20 then value of third quartile is a. 63 c. 53 b. 43 d. 73
  12. Sum of squared deviation of sample mean is 48 and total number of observation is 13 then population variance is a. 61 c. 48 b. 13 d. 4
  13. Sum of observations is 12 and coefficient of absolute mean deviation is 18 then value of mean absolute deviation is a. 516 c. 716 b. 216 d. 616
  14. Shape of frequency distribution constructed in consideration of empirical rule is classified as a. bell shaped c. tower shape b. wing shape d. fish shape
  15. According to empirical rule, mean and standard deviation interval that covers approximately 95.45% of data from a frequency distribution is a. μ±σ c. 2μ±2σ b. 3μ±2σ d. μ±2σ
  16. Output of 15 workers in hand made leather shoes company is as 50, 65, 70, 55, 62, 74, 75, 65, 70, 78, 79, 80, 68, 72, 67 then range is a. 30 c. 80 b. 75 d. 79
  17. If scatter or dispersion in distribution is high on each side then this indicates

Sampling Distributions

  1. If standard deviation of population is 35 and sample size is 9 then standard deviation of sampling distribution is a. 12.67 c. 11. b. 13.67 d. 14.
  2. In systematic sampling, value of k is classified as a. sampling interval c. sub stage interval b. secondary stage interval d. multistage interval
  3. Type of stratified proportion sampling in which information is gathered on convenience basis from different groups of population is classified as a. purposive sampling c. judgment sampling b. quota sampling d. convenience sampling
  4. Regardless to difference in distribution of sample and population, mean of sampling distribution must be equal to a. degree of freedom c. statistic error b. population mean d. standard error
  5. Listing of elements in population with identifiable number is classified as a. regularity experimental frame c. indirect experiment frame b. direct experimental frame d. frame for experiment
  6. If standard deviation of population is known then μ must be equal to a. absolute value of estimator c. error free mean b. expected value of mean d. inferential value of mean
  7. In systematic sampling, population is 200 and selected sample size is 50 then sampling interval is a. 250 c. 0. b. 4 d. 40
  8. Method of sampling in which population is divided in to mutual exclusive groups that have useful context in statistical research is classified as a. stratified sampling c. regular group sampling b. irregular group sampling d. direct group sampling
  9. Theorem which states that as sample size increases sampling distribution must approach normal distribution is classified as a. limited approximation theorem c. secondary limit theorem b. primary limit theorem d. central limit theorem
  10. If value of x-bar is 70 and μ of sampling distribution is 15 with standard deviation is 20 then standard normal variable is a. 2.75 c. 3. b. 4.75 d. 5.
  11. Uncertainty of elements can be reduced with estimation of a. under coverage error c. coverage error b. sampling error d. random sample error
  12. Type of sampling in which desired and useful information is gathered from best position holder is classified as a. quota sampling c. convenience sampling b. purposive sampling d. judgment sampling
  13. If p is equal to 0.65, value of N is 25000 whereas sample size is 50 then value of standard deviation of sample proportion is a. 0.0056 c. 0. b. 0.0065 d. 0.
  14. If proportion of population is 10.5 then proportion mean of sampling distribution is a. 10.5 c. 12. b. 15.5 d. 18.
  15. Method of sampling in which random sampling will not be possible because population is widely spread is classified as a. secondary stage sampling c. multistage sampling b. primary stage sampling d. sub stage sampling
  16. If value of p is 0.70 and sample size is 28 then value of standard deviation of sample proportion is a. 0.097 c. 0. b. 0.087 d. 0. Probability Distribution
  1. In binomial probability distribution, dependents of standard deviations must includes a. probability of q c. probability of p b. trials d. all of above
  2. Distribution whose function is calculated by considering Bernoulli trials that are infinite In number is classified as a. negative Poisson distribution c. bimodal cumulative distribution b. common probability distribution d. negative binomial probability distribution
  3. In Poisson probability distribution, if value of λ is integer then distribution will be a. Bimodal c. unimodal b. positive modal d. negative modal
  4. Mean of binomial probability distribution is 857.6 and probability is 64% then number of values of binomial distribution a. 1040 c. 1340 b. 1240 d. 1140
  5. If value of p is smaller or lesser than 0.5 then binomial distribution is classified as a. skewed to right c. skewed to left b. skewed to infinity d. skewed to integers
  6. If μ is equal to 8 then standard deviation of exponential probability distribution is a. 0.425 c. 0. b. 0.225 d. 0.
  7. Value which is obtained by multiplying possible values of random variable with probability of occurrence and is equal to weighted average is called a. discrete value c. weighted value b. expected value d. cumulative value
  8. Number of products manufactured in a factory in a day are 3500 and probability that some pieces are defected is 0.55 then mean of binomial probability distribution is a. 1925 c. 6364 b. 63.64 d. 3500
  9. If value of interval a is 2.5 and value of interval b is 3.5 then value of mean for uniform distribution is a. 0.5 c. 3 b. 2.5 d. 3.
  10. If value of success in binomial probability distribution is 0.40 and failure is 0.60 and number of values in distribution are 5 then moment coefficient of skewness is a. 0.467 c. 0. b. 0.267 d. 0.
  11. Class of variable which can accept any value within upper and lower limit is classified as a. posterior random variable c. interior random variable b. discrete random variable d. continuous random variable
  12. If value of x for normal distribution is 35, mean of normal distribution is 65 and standard deviation is 25 then standardized random variable is a. −1.5 c. −1. b. −1.7 d. −
  13. If value of m in beta distribution is 35 and value of n in beta distribution is 50 then expected value of random variable x in beta distribution is a. 0.411 c. 0. b. 0.511 d. 0.
  14. In a negative binomial distribution of probability, random variable is also classified a a. discrete random variable c. continuous waiting time random variable b. discrete waiting time random variable d. discrete negative binomial variable
  15. If sample size is 6 and population is 50 from which it is drawn without replacement and elements for success are 22 then variance of hyper geometric probability distribution is a. 1.388 c. 2. b. 3.388 d. 4.
  16. Consider probability distribution as standard normal, if value of μ is 75, value of x is 120 with unknown standard deviation of distribution then value of z-statistic a. will be one c. will be zero b. will be negative d. will be positive
  17. If value of p is 0.60 and value of n is 3 whereas random variable x is equal to 4 then value of z-score of distribution is

b. normal cumulative probability distribution d. approximated normal distribution

  1. Probability distribution having shape of bell and in which values of mean lies in center of probability distribution is classified as a. continuous distribution c. normal distribution b. discrete distribution d. hyper geometric distribution
  2. If parameter μ is 11 and n of gamma distribution is 50 then variance of gamma distribution is a. 0.713 c. 0. b. 0.513 d. 0.
  3. For Gamma distribution, if value of n is equal to 15 and value of μ is 7 then expected value for this distribution is a. 3.14 c. 2. b. 4.14 d. 5.
  4. If value of m in beta distribution is 5 and value of n is 25 then standard deviation of beta distribution is a. 0.067 c. 0. b. 0.047 d. 0.
  5. In classification of probability distributions, 'Erlang distribution' is also called a. alpha distribution c. beta distribution b. gamma distribution d. exponential distribution Skewness, Kurtosis and Moments
  6. If first quartile and third quartile are as 32 and 35 respectively with median of 20 then distribution is skewed to a. lower tail c. upper tail b. close end tail d. open end tail
  7. If beta one is 9, beta two is 11 then coefficient of skewness is a. 0.589 c. 0. b. 0.489 d. 0.
  8. Method of calculating skewness which is based on positions of quartiles and median in a distribution is called a. Gary's coefficient of skewness c. Sharma's coefficient of skewness b. Bowley's coefficient of skewness d. Jack Karl's coefficient of skewness
  9. Median of a moderately skewed distribution is 8, third quartile is 12, first quartile is 8 and inter-quartile range is 4 then relative coefficient of skewness is a. ±8 c. ± b. ±9 d. ±
  10. Kurtosis defines peakness of curve in region which is a. around the mode c. around the mean b. around the median d. around the variance
  11. In kurtosis, beta is greater than three and quartile range is preferred for a. mesokurtic distribution c. mega curve distribution b. leptokurtic distribution d. platykurtic distribution
  12. For Karl Pearson's skewness coefficient value of skewness must be in limits a. ±3 c. ± b. ±4 d. ±
  13. Coefficient of skewness method in which basis of measuring is deciles and percentiles is classified as a. Gary's coefficient of skewness c. Sharma's coefficient of skewness b. Kelly's coefficient of skewness d. Jack Karl's coefficient of skewness
  14. Consider a set of observations whose mean is 14 and mode of same set of observations is 12 then values of skewness around central value are a. 2 c. 26 b. 1.667 d. 168
  15. Mode of set of 20 observations is 18 and skewness of observations around central value is 5 then calculated value of arithmetic mean of observations is a. 23 c. 7 b. 13 d. 43
  16. Considering mean, mode and skewness of data, value of skewness will be negative if a. mean>mode c. mean<mode b. meanmedian
  17. In kurtosis, beta is less than three and median is preferred as central tendency for a. leptokurtic distribution c. platykurtic distribution b. mesokurtic distribution d. mega curve distribution
  1. First quartile of data set is 12, third quartile of data set is 18 and median is 9 then absolute skewness of same data set is a. 18 c. 12 b. 9 d. 15
  2. 90th percentile is 60, 50th percentile is 30 and 10th percentile is 40 then coefficient of skewness is a. ±30 c. ± b. ±8 d. ±
  3. Considering alpha and beta in moments, measure of asymmetrical distribution is possible with a. alpha three and beta one c. alpha two and beta one b. alpha three and beta four d. alpha three and beta two
  4. If median is 18, coefficient of skewness is 6 and mean is 30 then standard deviation of data is a. 6 c. 18 b. 30 d. 36
  5. Degree or extent to which frequency of observations in data set are concentrated in given frequency distribution is classified as a. alpha system c. gamma system b. beta system d. kurtosis
  6. Percentile and moment system are two groups of a. skewness measures c. central tendencies measures b. quartile measures d. percentile measures
  7. If values of skewness and arithmetic mean is given as 4 and 17 respectively then mode of values is a. 68 c. 4. b. 21 d. 13
  8. If median is 12, mean is 15 and standard deviation of data is 3 then Karl Pearson's coefficient of skewness is a. 17 c. 27 b. 15 d. 3
  9. First deciles of data is 8, ninth deciles is 12 and fifth deciles is 6 then coefficient of skewness is a. ±2 c. ± b. ±3 d. ± Confidence Interval and Estimation
  10. Range or set of values which have chances to contain value of population parameter with particular confidence level is considered as a. secondary interval estimation c. confidence interval estimate b. population interval estimate d. sample interval estimate
  11. Upper and lower boundaries of interval of confidence are classified as a. error biased limits c. marginal limits b. estimate limits d. confidence limits
  12. For a parameter whose value is unknown, belief or claim for that parameter is classified as a. parameter claim testing c. expected belief testing b. hypothesis testing d. primary limit testing
  13. If standard deviation of population 1 is 3 with sample size is 8 and population 2 standard deviation is 5 with sample size is 7 then standard deviation of sampling distribution is a. 4.044 c. 3. b. 1.044 d. 2.
  14. Considering sample statistic, if mean of sampling distribution is equal to population mean then sample statistic is classified as a. unbiased estimator c. biased estimator b. interval estimator d. hypothesis estimator
  15. If point estimate is 8 and margin of error is 5 then confidence interval is a. 3 to 13 c. 4 to 14 b. 5 to 15 d. 6 to 16
  16. To develop interval estimate of any parameter of population, value which is added or subtracted from point estimate is classified as a. margin of efficiency c. margin of consistency b. margin of biasedness d. margin of error
  17. In confidence interval estimation, confidence efficient is denoted by a. 1 + β c. 1 - β b. 1 – α d. 1 + α
  18. Considering sample size, sampling distribution standard error decreases when the

a. P(X or Y) = P(X) - P(Y) + P(X and Y) c. P(X or Y) = P(X) + P(Y) * P(X - Y) b. P(X or Y) = P(X) * P(Y) + P(X - Y) d. P(X or Y) = P(X) + P(Y) - P(X and Y)

  1. If a person buys a lottery, chance of winning a Toyota car is 60%, chance of winning Hyundai car is 70% and chance of winning both is 40% then chance of winning Toyota or Hyundai is a. 0.6 c. 0. b. 0.8 d. 0.
  2. Types of probabilities for independent events must includes a. joint events c. marginal events b. conditional events d. all of above
  3. Probability without any conditions of occurrence of an event is considered as a. conditional probability c. marginal probability b. non conditional probability d. occurrence probability
  4. Joint probability of two statistical dependent events Y and Z can be written as P(Y and Z) = a. P(Z + Y) * P(Y|Z) c. P(Y) * P(Z|Y) b. P(Y) * P(Z|Y) + P(Z) d. P(Y) * P(Z|Y) - P(Z + Y)
  5. Marginal probability of independent events and dependent events must be a. Same c. different b. One d. two
  6. Consider an event B, non-occurrence of event B is represented by a. union of A c. complement of A b. Intersection of A d. A is equal to zero
  7. If a brown sack consists of 4 white balls and 3 black balls then probability of one randomly drawn ball will be white is a. 4 ⁄ 7 c. 1 ⁄ b. 4 ⁄ 4 d. 4 ⁄ 3
  8. If a bag contains three fruits, 16 percent are apples, 30 percent are oranges and 20 percent some other fruit that is neither oranges nor apples then probability of selecting an orange randomly is a. 0.3 c. 0. b. 0.65 d. 0.
  9. If a luggage bag contains two types of shirts, 40 percent are dress shirts, 45 percent are T-shirts and 30 percent are blue jeans then probability of selecting a dress shirt in random sample is a. 0.47 c. 0. b. 0.35 d. 0.
  10. Conditional probability of two independent events Y and Z can be written as a. P(Y - Z) c. P(Y * Z) b. P(Y|Z) d. P(Y + Z)
  11. If factory has four machines, machines will be completely depreciated in next year and chances of failure of all machines respectively are 0.24, 0.45, 0.35, 0.38 then probability of failure of all machines before next year is a. 0.355 c. 0. b. 0.158 d. 0.
  12. In how many ways can you arrange the letters of the word “MATHEMATICS” such that vowels always come together? a. 120 c. 1800 b. 720 d. 120960