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Recitation 3 of normal distribution, Exercises of Statistics

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2022/2023

Uploaded on 11/06/2023

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STAT 1450 Recitation Activity 3 Student Name: Angelica Quebatay
Normal Distributions TA: Sarah Balfour
Date#: 09/06/23
OBJECTIVES
Students will review select concepts regarding density curves.
Students will apply the 68-95-99.7 Rule.
Students will use Table A to compute proportions of a Normal Distribution.
Students will explore the Normal Density Curve Applet.
Part I: TRUE/FALSE Please correct any false statements.
1. Density curves have areas of exactly 1 beneath them. T
2. The probability that a uniformly distributed random variable assumes values above its
maximum is greater than the probability that it assumes values below its minimum. F
3. For a normal distribution, the mean is an appropriate measure of spread and the standard
deviation is an appropriate measure of center. T
4. The invNorm function on the graphing calculator computes probabilities associated with
the normal distribution. F
5. The Standard Normal Distribution has a mean of 1 and a standard deviation of 0. F
6. The formula x = +z is used to find a value, x, when given a percentile associated with a
particular Normal() distribution. -> T
7. Under a normal curve, the area below -1.5 is the same as the area above 1.5. T
Part II: Z-Score Comparison
8. Assume that ACT-Math scores are distributed N(20.2, 5.8) and SAT-Math scores N(521,
100). An aspiring Statistician wants to submit her best score on college applications. If she
earns a 30 on the ACT-Math and a 700 on the SAT-Math, which score is superior?
The SAT score of 700 would be more superior than the ACT score of 30 since the
SAT has a higher z-score (1.29) than the ACT score (1.69). A higher z-score means
a better performance than the mean.
STAT 1450 Recitation 3 p.1
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STAT 1450 Recitation Activity 3 Student Name: Angelica Quebatay Normal Distributions TA: Sarah Balfour Date : 09/06/ OBJECTIVES  Students will review select concepts regarding density curves.  Students will apply the 68-95-99.7 Rule.  Students will use Table A to compute proportions of a Normal Distribution.  Students will explore the Normal Density Curve Applet. Part I: TRUE/FALSE Please correct any false statements.

  1. Density curves have areas of exactly 1 beneath them. T
  2. The probability that a uniformly distributed random variable assumes values above its maximum is greater than the probability that it assumes values below its minimum. F
  3. For a normal distribution, the mean is an appropriate measure of spread and the standard deviation is an appropriate measure of center. T
  4. The invNorm function on the graphing calculator computes probabilities associated with the normal distribution. F
  5. The Standard Normal Distribution has a mean of 1 and a standard deviation of 0. F
  6. The formula x = +zis used to find a value, x, when given a percentile associated with a particular Normal() distribution. -> T
  7. Under a normal curve, the area below -1.5 is the same as the area above 1.5. T Part II: Z-Score Comparison
  8. Assume that ACT-Math scores are distributed N(20.2, 5.8) and SAT-Math scores N(521, 100). An aspiring Statistician wants to submit her best score on college applications. If she earns a 30 on the ACT-Math and a 700 on the SAT-Math, which score is superior?  The SAT score of 700 would be more superior than the ACT score of 30 since the SAT has a higher z-score (1.29) than the ACT score (1.69). A higher z-score means a better performance than the mean.

Part II: Exploration

  1. Assume the age distribution of US college students is approximately normal with a mean of 22.48 and a standard deviation of σ=4.74 years. a) Use the 68-95-99.7 Rule to estimate the proportion of ages that lie between 13 & 31. years old.  I did this on my calculator and envisioned a graph of the curve but it’s essentially like this: 13.5%+34%+34%+13.5% = 95% b) Use the Standard Normal Table (or TI-graphing calculator) to compute (to four-decimal accuracy) the proportion of ages that lie between 13 & 31.96 years old.  0. c) Access the link http://www.rossmanchance.com/applets/NormCalc.html Enter Age for Variable Enter 22.48 for Mean. Enter 4.74 for SD. Note: Leave the 3rd^ row Mean & SD fields empty. Click on Scale to Fit. Select the button to the left of the first “<” symbol. Enter 13 Select the button to the left of the second “<” symbol. Enter 31. What is the probability between these two points? What are each of the corresponding z-scores?  0.  -2 and 2 De-select the button to the left of the second “<” symbol. Use the applet (and your creativity and intuition) to compute the proportions of ages that lie: d) less than 13 years old e) more than 31.96 years old  3.52 to 13 is about 9.48 or.  31.96 to 41.44 is about 9.48 or. f) A prodigy child is someone in the youngest 5%. Focus closely on the probability part of the output to determine the cut-off age for prodigy child. What is the corresponding z-score? -1. Now answer this exercise with either the Standard Normal Table (or TI-graphing calculator ) to confirm your answer.