Which of the following is NOT a requirement for testing a claim about a mean with a known? Choose the correct answer below. O A. If the sample results (or more extreme results) cannot easily occur when the null hypothesis is true, we explain the discrepancy between the assumption and the sample results by concluding that the assumption is true, so w reject the assumption. O B. If the sample results (or more extreme results) can easily occur when the null hypothesis is true, we attribute the relatively small discrepancy between the assumption and the sample results to chance O C. If, under a given assumption, there is an exceptionally small probability of getting sample results at least as extreme as the results that were obtained, we conclude that the assumption is probably not corect. O D. A conclusion based on a confidence interval estimate will be the same as a conclusion based on a hypothesis test.

Which of the following is NOT a requirement for testing a claim about a mean with a known? Choose the correct answer below. O A. If the sample results (or more extreme results) cannot easily occur when the null hypothesis is true, we explain the discrepancy between the assumption and the sample results by concluding that the assumption is true, so w reject the assumption. O B. If the sample results (or more extreme results) can easily occur when the null hypothesis is true, we attribute the relatively small discrepancy between the assumption and the sample results to chance O C. If, under a given assumption, there is an exceptionally small probability of getting sample results at least as extreme as the results that were obtained, we conclude that the assumption is probably not corect. O D. A conclusion based on a confidence interval estimate will be the same as a conclusion based on a hypothesis test.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Which of the following is NOT a requirement for testing a claim about a mean with a known? Choose the correct answer below. OA. A conclusion based on a confidence interval estimate will be the same as a conclusion based on a hypothesis test. OB. If the sample results (or more extreme results) cannot easily occur when the null hypothesis is true, we explain the discrepancy between the assumption and the sample results by concluding that the assumption is true, so we do not reject the assumption. OC. If the sample results (or more extreme results) can easily occur when the null hypothesis is true, we attribute the relatively small discrepancy between the assumption and the sample results to chance. OD. If, under a given assumption, there is an exceptionally small probability of getting sample results at least as extreme as the results that were obtained, we conclude that the assumption is probably not correct.
50 psychology graduate students were equally divided into two groups. Group 1 was presented with arguments that always attempted to strengthen the favored position. Group 2 was presented with arguments that always attempted to weaken the nonfavored position. Summary statistics for the student ratings of the arguments are reproduced in the accompanying table. It is claimed that the mean ratings for the two groups have equal variances. Determine the validity of this claim at a=0.1. Groups Sample Size Mean Standard Deviation Group 1 25 28.6 12.5 Group 2 25 24.9 12.2 (1) Critical Values (Round off to 3 decimal places): (2) Test Statistic (Round off to 2 decimal places):
Last week Jenni had exams in Spanish and in Cognition. She scored 5 points above the mean on both exams. From this information, what can you conclude about the z-scores for Jenni’s two scores? a. Jenni will have a higher z-score for the exam with the lower mean. b. None of the other choices is correct. c. Jenni has identical z-scores for the two exams. d. Both of Jenni's z-scores are positive.
Which of the following describes a Type I error? A. Error associated with decisions to retain the null B. You decide that there is a statistical difference when there is actually no difference C. You decide that there is no difference when there is actually a statistical difference
Which of the following statements are true concerning the mean of the differences between two dependent samples (matched pairs)? Select all that apply. O A. If one has more than 10 matched pairs of sample data, one can consider the sample to be large and there is no need to check for normality. O B. The requirement of a simple random sample is satisfied if we have dependent pairs of convenience sampling data. O C. If one wants to use a confidence interval to test the claim that H, >0 with a 0.10 significance level, the confidence interval should have a confidence level of 80%. O D. The methods used to evaluate the mean of the differences between two dependent variables apply if one has 65 weights of women from California and 65 weights of women from Ohio. O E. If one has twenty-five matched pairs of sample data, there is a loose requirement that the twenty-five differences appear to be from a normally distributed population.
(a) Write the claim mathematically and identify H0 and Ha. Which of the following correctly states H0 and Ha? (b) Use technology to find the P-value.(Round to three decimal places as needed. (c) Decide whether to reject or fail to reject the null hypothesis. (d) Interpret the decision in the context of the original claim.
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Q.19 Urgent question! I will thumbs up! In the final answer that you circle, please also include the brief approach / formula you used under "Answer". Thanks!
Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%. Colby was in his most recent class, and his class’s mean score on the final exam was 82%. Colby decided to run a hypothesis test to determine if the mean score of his class was significantly greater than the mean score of the population. α = .01. What is the mean score of the population? What is the mean score of the sample? Is this test one-tailed or two-tailed? Why?
Which of the following statements about hypothesis testing is false? A. A Type I error is the chance that the researcher rejects the null hypothesis when in fact the null hypothesis is true. B. The test will never confirm the null hypothesis, only fail to reject the null hypothesis. C. In both the one - tailed and two-tailed tests, the rejection region is one contiguous interval on the number line. D. The rejection region is always given in units of standard deviations from the mean.
A coin-operated drink machine was designed to discharge a mean of 9 ounces of coffee per cup. Suppose that we want to carry out a hypothesis test to see if the true mean discharge differs from 9 . State the null hypothesis H0 and the alternative hypothesis H1 that we would use for this test.
Your medical research team investigating the mean cost of a 30-day supply of a certain heart medication. A pharmaceutical company thinks that the mean cost is more than $64. You want to support this claim. How would you write the null and alternative hypotheses? Ho: H₂: