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The fundamentals of hypothesis testing in statistics, including the formulation of null and alternative hypotheses, the concept of statistical significance, and the interpretation of test results. It discusses various examples and scenarios related to hypothesis testing, such as testing claims about population means, proportions, and variances. The document also explores the concepts of type i and type ii errors, and the importance of selecting appropriate statistical tests based on the underlying assumptions and characteristics of the data. Overall, this document provides a comprehensive overview of the principles and applications of hypothesis testing, which is a crucial component of statistical inference and decision-making.
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In formulating hypotheses for a statistical test of significance, the null hypothesis is often a) a statement of "no effect" or "no difference." b) the probability of observing the data you actually obtained. c) a statement that the data are all 0. d) a statement that the mean of the data is 0. e) usually stated as a strict inequality.
In their advertisements, the marketers of a new diet program would like to claim that their methods result in a mean weight loss of more than 10 pounds in two weeks. In order to determine if this is a valid claim, they hire an independent testing agency which then selects 25 people to be placed on this
Which of the following are true statements? (I) If there is evidence sufficient to reject a null hypothesis at the 10%, then there is sufficient evidence to reject this null hypothesis at the 5% level. (II) Whether to use a one- or a two-sided alternative is typically decided after the data are gathered. (III) If the hypothesis test is conducted at the 1% level, there is a 1% chance of rejecting the null hypothesis. a) I only b) II only c) III only d) I, II, and III e) None are true.
SAS high-school counselor Mr. Williams once told me that our students study mathematics on average 2 hours per day. However, because of the “math addiction” diagnosed at this school, I firmly believe that the average is higher. An appropriate set of hypotheses for this situation would be
and s (^) x = 1. 155. Assume that the underlying population of mathematics study times are approximately normally distributed. In which interval will the significance, or P -value be found? a) P <. 0025 b). 0025 < P <. 005 c). 005 < P <. 01 d). 01 < P <. 05 e). 05 < P
(I) Billy’s results are irrelevant to our hypothesis testing.
a) I only b) II only c) III only d) II and III e) I, II, and III
claim? a). b). c). d). e).
He sends Erica out to perform some measurements, who returns with the sample mean of x = 13. 82 oz. and the sample deviation of oz. for 16 bags of these chips. Based on Erica’s measurements, and assuming that the weights are approximately normally distributed, we would
sx = 0. 24
a) reject H 0 at significance level 0.10 but not at 0.05. b) reject H 0 at significance level 0.05 but not at 0.025. c) reject H 0 at significance level 0.025 but not at 0.01. d) reject H 0 at significance level 0.01. e) not reject H 0 at any level of significance.
Suppose that you would like to test a hypothesis about the mean of a population using a significance level of 0.05. Suppose further that you would like to use the t -statistic even though you suspect that the population is slightly skewed (and therefore not normal). Which of the following is correct? a) You should not the t -statistic since the population does not have a normal distribution. b) You may use the t -statistic provided that your sample size is large―say, at least 50. c) You may use the t -statistic, but you should probably only claim the significance level is 0.10. d) You may not use the t -statistic in this situation only for confidence intervals but not for tests of hypotheses. e) None of the above is correct.
Suppose that Mr. S sends two students, Tommy and Myung-Soo, out to test a hypothesis about a population proportion. Tommy returns with a measurement with P -value of 0.03 and Myung-Soo returns with a measurement with P -value of 0.022.
(I) Tommy’s results are more significant than Myung-Soo’s. (II) Myung-Soo’s results are more significant than Tommy’s. (III) The null hypothesis can be rejected at the 5% level of significance.
a) I only b) II only c) III only d) I and III e) II and III
A service station advertises that its mechanics can change a muffler in only 15 minutes. A consumers’ group doubts this claim and runs a hypothesis test using an SRS or 60 cars needing new mufflers. In this sample the mean changing time is 16.25 minutes with a standard deviation of 3.5 minutes. Is this strong evidence against the 15-minute claim? a) Yes, because the P -value is only.. b) No, because the P -value is .0028. c) Yes, because the P -value is .28. d) No, because 15 is within 16.25 ±3.5. e) Yes, because 16.25 is larger than the claimed 15 minutes.
In leaving for school on an overcast April morning you make a judgement on the null hypothesis: H 0 :Theweather willremain dry. What would the results be of Type I and Type II errors? a) Type I error: get drenched Type II error: needlessly carry around an umbrella b) Type I error: needlessly carry around an umbrella Type II error: get drenched c) Type I error: carry an umbrella, and it rains Type II error: carry no umbrella, but the weather remains dry d) Type I error: get drenched Type II error: carry no umbrella, but the weather remains dry e) Type I error: get drenched Type II error: carry an umbrella, and it rains
An assembly-line machine is supposed to turn out ball bearings with a diameter of 1.25 centimeters. Each morning the first 30 ball bearings produced are pulled and measured. If their mean diameter is under 1.23 centimeters or over 1.27 centimeters, the machinery is stopped and an engineer is called to make adjustments before production is resumed. The quality control procedure may be viewed as a hypothesis test with
The engineer is asked to make adjustments when the null hypothesis is rejected. In test terminology, what would be the result of a Type II error? a) A warranted halt in production to adjust the machinery b) An unnecessary stoppage of the production process c) Continued production of wrong size ball bearings d) Continued production of proper size ball bearings e) Continued production of ball bearings that randomly are the right or wrong size
A law firm is trying to decide whether to represent car owners in a class action lawsuit against the manufacturer of a certain make and model for a particular defect. If 5 percent or less of the cars of this make and model have the defect, the firm will not recover its expenses. Therefore, the firm will handle the lawsuit only if it is convinced that more than 5 percent of cars of this make and model have the defect. The firm plans to take a random sample of 1,000 people who bought this car and ask them if they experienced this defect in their cars.
a) Define the parameter of interest and state the null and alternative hypotheses that the law firm should test.
b) In the context of this situation, describe Type I and Type II errors and describe the consequences of each type of error for the law firm.
The pharmaceutical company collected data by giving the new drug to a random sample of 50 people from the population of people with high cholesterol. The reduction in cholesterol level after one month of use was recorded for each individual in the sample, resulting in a sample mean reduction of 24 mg/dl and a standard deviation of 15 mg/dl. a) The regulatory agency decides to use a confidence interval estimate for the population mean reduction in cholesterol level for the new drug. Provide the 95% confidence interval for the mean reduction in cholesterol level. b) Because the 95% confidence interval includes 20, the regulatory agency is not convinced that the new drug is better than the current best seller. The pharmaceutical company tested the following hypotheses:
where μ represents the population mean reduction in cholesterol level for the new drug, and where
explain which test you used and why you used it.
c) The test procedure resulted in a z -value of 1.89 and a P -value of 0.03. Because the P -value is less than 0.05, the company believes that there is convincing evidence that the mean reduction in cholesterol level for the new drug is more than 20. Explain why the confidence interval and the hypothesis test led to different conclusions.
outcome? d) At what confidence level will the confidence interval about x yield the same conclusion as in c)? Compute this confidence interval. e) A non-mathematically inclined person could conceivably argue that 91.3 is not much greater than 90 and hence Mr. Corbett and Mr. Surowski’s claim cannot possibly be true. How would you respond to this?
Next, assume that the Municipal Government commissioned a study to investigate the transportation habits of 813 residents, with the following results:
Regularly drive a private automobile 4.6% Regularly ride in taxis 15.9% Regularly take public transportation 57.2% Regularly use other forms of transportation 22.0% 100%
b) Can a normal distribution reasonably be applied to this situation? Give supporting calculations. c) What is the P -value associated with the above data? Do you feel that this is significant? d) Do the above results justify the Shanghai Municipal Government’s claim? Use the level of
Next, assume that the mean score on this test is x = 13. 2 with a standard deviation of s=3.32.
b) Compute the P-value of the mean and comment on its relative significance. c) Would you reject your null hypothesis at any “reasonable” level of significance? Why or why not? d) What hypotheses, if any, did you make in the application of your statistical methods?