As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the population mean is less than 77.1. O There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 77.1. O The sample data support the claim that the population mean is less than 77.1. O There is not sufficient sample evidence to support the claim that the population mean is less than 77.1. Submit Question

As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the population mean is less than 77.1. O There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 77.1. O The sample data support the claim that the population mean is less than 77.1. O There is not sufficient sample evidence to support the claim that the population mean is less than 77.1. Submit Question

Name: As such, the final conclusion is that...O There is sufficient evidenc
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Description: As such, the final conclusion is that...O There is sufficient evidence to warrant rejection of the claim that the population mean is less than77.1.O There is not sufficient evidence to warrant rejection of the claim that the population mean is lesst

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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A manufacturer claims that a certain brand of cold tablets contains an average 600 mg of acetaminophen. To test this claim, a researcher creates a random sample of 32 tablets. The mean of this sample is 631.7 mg, and the standard deviation is 62.3 mg. Test the claim using a level of significance of 1%. What type of test will be used in this problem? What evidence justifies the use of this test? Check all that apply The original population is approximately normal The population standard deviation is not known The sample standard deviation is not known There are two different samples being compared np>5 and nq>5 The sample size is larger than 30 The population standard deviation is known Enter the null hypothesis for this test.H0 Enter the alternative hypothesis for this test.H1: Is the original claim located in the null or alternative hypothesis? What is the test statistic for the given statistics? What is the p-value for this test? What is the decision…
7. The correct and incorrect responses to a test question are listed according to major with the sample results given below. At the .05 significance level, test the claim that response and major are independent. Math English Correct Incorrect 53 27 43 37 claim null hypothesis.….. alternative hypothesis... Calculator Screen Name.... test statistic pvalue/alpha comparison.... decision Conclusion
You wish to test the following claim (Ha) at a significance level of a = 0.001. H.:µ = 79.1 Ha:u < 79.1 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 581 with a mean of M = 77.9 and a standard deviation of SD = 11.7. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = The test statistic is... O in the critical region O not in the critical region This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null hp %23 3.
You wish to test the following claim (Ha) at a significance level of a = 0.05. H.:µ = 84.3 Ha:µ + 84.3 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size 'n= 15 with a mean of M = 70.4 and a standard deviation of SD = 17.4. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = + What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic =
Which of the following best describes the meaning of a p value for a chi squared score? a) A p value is another way to look at a chi squared score, so a low p value is essentially the same thing as a low chi squared score. b) A low p value means that the data is not likely to show any pattern or correlation. c)The higher the chi squared score, the lower the p value, because high chi squared scores mean the data looks like random data. d)A higher chi squared score means that the data was different from expected, and therefore unlikely to have occurred by chance.
Q1. For each of the studies described in questions a) and b), indicate the appropriate statistical test for analyzing the relationship between the variables. Assume that the underlying assumptions of the tests have been satisfied. a) A researcher tested the relationship between college students’ need for achievement as assessed on a 20-item test and their grade point averages. Explain your decision. b) A consumer psychologist studied the relationship between gender and preference for Ford, Chevrolet, and Chrysler cars. One hundred men and 100 women were interviewed and asked which make they preferred. Explain your decision. c) A person who claims to have psychic powers tries to predict the outcome of a roll of a die on each of 100 trials. He correctly predicts 21 rolls. Using an alpha level of 0.05 as a criterion, what should we conclude about the person’s claim?
You wish to test the following claim (H) at a significance level of a = 0.005. For the context of this problem, Hd = H2 - H1 where the first data set represents a pre-test and the second data set represents a post-test. H.: Ha = 0 H.: Ha + 0 You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain pre-test and post-test samples for n = difference (post - pre) is d 15 subjects. The average = 32.6 witha standard deviation of the differences of 31.6. || What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = ± What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = The test statistic is... O in the critical region O not in the critical region This test statistic leads to a decision to... O reject the null accept the null O fail to reject the null
a. Qi b. Q3 3. The revenues of the top eleven personal computer manufacturers are given (in hundred millions). 1. 27 a. Compute the first quartile. -C. M. 7 8. 9. 9. 10 b. The third quartile. c. Determine the median. d. Draw a box plot for the data. е. е. Calculate Pearson's coefficient of skewness.
Also need to find the standardized test statistic, decide whether to reject or fail to reject, and interpret the decision in the context of the claim.
You wish to test the following claim (H) at a significance level of a = 0.05. For the context of this problem, d = 2-1 where the first data set represents a pre-test and the second data set represents a post-test. Ho: Pd = 0 Ha: d < 0 You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain pre-test and post-test samples for n = 301 subjects. The average difference (post-pre) is d = 2.4 with a standard deviation of the differences of sa = 22.7. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = L What is the P-value for this test? (Report answer accurate to four decimal places.) P-value = The P-value is... O less than (or equal to) a O greater than a This P-value leads to a decision to... O reject the null O accept the null O fail to reject the null
A popular theory is that presidential candidates have an advantage if they are taller than their main opponents. Listed are heights (in centimeters) of randomly selected presidents along with the heights of their main opponents. Complete parts (a) and (b) below. Height (cm) of President Height (cm) of Main Opponent 178 181 171 167 183 177 184 170 178 174 203 166 9 a. Use the sample data with a 0.05 significance level to test the claim that for the population of heights for presidents and their main opponents, the differences have a mean greater than 0 cm. In this example, Ha is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the president's height minus their main opponent's height. What are the null and alternative hypotheses for the hypothesis test? Họ: Ha cm H1: Hd cm (Type integers or decimals. Do not round.)
A. There is sufficient evidence to support the claim that the mean is less than 32 miles per gallon. O B. There is not sufficient evidence to support the claim that the mean is less than 32 miles per gallon. O C. There is not sufficient evidence to support the claim that the mean is greater than 32 miles per gallon. O D. There is sufficient evidence to support the claim that the mean is greater than 32 miles per gallon.