Which of the following accurately describes the null and alternative hypotheses for a Kruskal-Wallis test?A) Ho: The populations medians are the same, Ha: At least one population median is different B) Ho: The population distributions are the same, Ha: At least one distribution is different C) Ho: At least one population distribution is the same, Ha: All distributions are different D) Ho: All population means are equal, Ha: At least one population mean is different

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Answered: Which of the following accurately…

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 a requirement that must be true in order to run a t-test over a z-test? a) the standard deviations for both populations must be known b) the standard deviations should come from each sample c) if the sample sizes are less than 30, the populations need to be approximately normal d) the populations must be approximately normal
Compute the following numbers:b. How many three-letter “words” are there without repeated letters? (so no “BBA”)
a) Which of the following correctly specifies the null hypothesis? [select all that apply] b) Which of the following correctly specifies the alternative hypothesis? [select all that apply] c) Calculate and report the standard error for the sampling distribution for the difference in means.
courses/50306/assignments/608635?module_item_id=1106150 You wish to test the following claim (Ha) at a significance level of a = 0.005. H.:µ = 59.4 Ha:u < 59.4 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 24 with mean M = 51.1 and a standard deviation of SD = 9.7. What is the p-value for this sample? (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 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 59.4. O There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 59.4. O The sample data support the claim that the population mean is less than 59.4. OThere i not sufficient sample ovidence to…
A driving instructor is investigating whether the time a driver spends in a driver’s education course improves their score on the driver’s test. The instructor randomly selected 10 drivers from a driver’s education course and recorded the number of hours each driver attended the driver’s education course and their corresponding score on the driver’s test. Assuming all conditions for inference are met, which of the following significance tests should be used for the investigation? A. A chi-square test of independence B. A two-sample t-test for a difference between means C. A two-sample z-test for a difference between proportions D. A linear regression t-test for slope E. A matched pairs t-test for a mean difference
If the sample data produce a test statistic (z-score) that is in the critical region, then which of the following is the appropriate conclusion for the test? O reject H₁ O fail to reject H₁ O fail to reject Ho O reject Ho
A study was conduced to investigate whether the mean number of snack bars sold at two airport convenience stores,C and D, were different. For ten randomly selected days, the number of snack bars sold at each store was recorded, and the sample mean number of snack bars for each store was calculated. A two-sample t-test for a difference in means will be conducted. Have all the conditions for inference been met? A.) Yes, all conditions have been met B.) No, the data were not collected using a random method C.) No, the sample sizs are greatr than 10 percent of the population D.) No, the sample sizes are not large enough to assume normality of the sampling distrbution E.) No, the distribution of the population is known to be skewed
Which of the following statements about two-sample inference procedures are true? There may be more than one correct statement; check all that are true. Question options: a) If the population variances are known to be equal, then the pooled-variance t procedure is a better choice than the Welch procedure. b) The Welch t procedure and pooled-variance t procedure both assume the sample means are equal. c) The Welch t procedure and pooled-variance t procedure both require equal sample sizes. d) The pooled-variance t procedure only works if the sample size is very large.
A preliminary study regarding the number of AIDS cases reported for Santa Clara County, California is broken down by race in the table below. White Hispanic Black Asian/Pacific Islander Total Race White Hispanic Black Cases Conduct a chi-square test for goodness-of-fit to determine whether or not the occurrence of AIDS cases is consistent with the race distribution of Santa Clara County. 28 Choose the correct null and alternative hypotheses: O Ho: The distribution of AIDS cases is different from the race distribution in Santa Clara County. Ha: The distribution of AIDS cases is consistent with the race distribution in Santa Clara County. Total 19 Ho: The distribution of AIDS cases is consistent with the race distribution in Santa Clara County. Ha: The distribution of AIDS cases is different from the race distribution in Santa Clara County. Race Asian/Pacific Islander 6 3 The population distribution of Santa Clara County by race is provided in the table below. Use these percentages to…
A preliminary study regarding the number of AIDS cases reported for Santa Clara County, California is broken down by race in the table below. White Hispanic Black Asian/Pacific Islander TOTAL Race White Hispanic Black Conduct a chi-square test for goodness-of-fit to determine whether or not the occurrence of AIDS cases is consistent with the race distribution of Santa Clara County. Cases Choose the correct null and alternative hypotheses: O Ho: The distribution of AIDS cases is different from the race distribution in Santa Clara County. Ha: The distribution of AIDS cases is consistent with the race distribution in Santa Clara County. TOTAL 22 Ho: The distribution of AIDS cases is consistent with the race distribution in Santa Clara County. Ha : The distribution of AIDS cases is different from the race distribution in Santa Clara County. Race Asian/Pacific Islander 14 ▼ Part 2 of 4 The population distribution of Santa Clara County by race is provided in the table below. Use these…

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A) Ho: The populations medians are the same, Ha: At least one population median is different
		B) Ho: The population distributions are the same, Ha: At least one distribution is different
		C) Ho: At least one population distribution is the same, Ha: All distributions are different
		D) Ho: All population means are equal, Ha: At least one population mean is different