researcher wanted to test an association between gender (male, female) andsychological distress (yes, no). Provide an Interpretation for the following output:Chi-Square TestsAsymptoticSignificance (2-aluedfsided)Pearson Chi-Square99.1514.000Likelihood Ratio93.4194.000Linear-by-Linear Association.1981.657N of Valid Cases1750a. 0 cells (0.0%) have expected count less than 5. The minimumexpected count is 32.41.View Insert Format Tools TableEdit12pt vParagraphBIUA>

When evaluating two variables with multiple responses each, we perform a Chi-square test of…

Answered: researcher wanted to test an…

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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In a survey of 1052 people, 758 people said they voted in a recent presidential election. Voting records show that 69% of eligible voters actually did vote. Given that 69% of eligible voters actually did vote, (a) find the probability that among 1052 randomly selected voters, at least 758 actually did vote. (b) What do the results from part (a) suggest? (a) P(X 2 758) = (Round to four decimal places as needed.)
Weather-Related Deaths Review Exercise 5 involved weather-related U.S. deaths. Among the 450 deaths included in that exercise, 320 are males. Use a 0.05 significance level to test the claim that among those who die in weather-related deaths, the percentage of males is equal to 50%. Provide an explanation for the results.
Describe the difference in the conclusions that one could draw from a sample T-test when CLT did NOT kick in, as in qqnorm() did not show a normal distribution for the sample size. What could one do instead of a T-test, and what would their test statistic be?
random sample of 25 business students required an average of 50.7 minutes to complete a statistics exam. Assume that the population standard deviation to complete the exam was 10.4 minutes. The 99% confidence interval around this sample mean is
Is there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head Short and Slender 73 90 43 Short and Pudgy 110 108 70 Tall and Slender 53 99 70 Tall and Heavy 60 106 78 What can be concluded at the αα = 0.05 significance level? What is the correct statistical test to use? Independence Goodness-of-Fit Paired t-test Homogeneity What are the null and alternative hypotheses?H0:H0: The distribution of hair color is not the same for each body type. Hair color and body type are dependent. The distribution of hair color is the same for each body type. Hair color and body type are independent. H1:H1: The distribution of hair color is the same for each body type. The distribution of hair color is not the same for each body type. Hair color and body type are independent. Hair color and body type are…
Small-business telephone users were surveyed 6 months after access to carriers other than Carrier A became available for wide-area telephone service. Of a random sample of 240 Carrier A users, 135 said they were attempting to learn more about their options, as did 227 of an independent random sample of 260 users of alternate carriers. Test, at the 1% significance level against a two-sided alternative, the null hypothesis that the two population proportions are the same. Click the link to view a standard normal distribution table. be the Let Px be the proportion of Carrier A users who said they were attempting to learn more about their options and Py proportion of users of alternate carriers who said they were attempting to learn more about their options. Determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: Px-Py=0 H₁: Px-Py 20 O D. Ho: Px-P₁ #0 H₁: Px - Py = 0 B. Ho: Px-Py = 0 H₁: Px-Py 0
An article reports that men over 6 feet tall earn more than men under 6 feet, with these numbers: average 6 foot plus male’s salary $55,000, average male’s salary under 6 foot tall of $47,000, with a p-value of 0.45. Based on that reported p-value, and using the common definition of "statistical significance," which is the case? With that p value, the results are not significant. With that p value, the differences are very close, but not statistically significant. The salary differences are not statistically significant. The salary differences are statistically significant.
In a study of 814 randomly selected medical malpractice lawsuits, it was found that 504 of them were dropped or dismissed. Use a 0.01 significance level to test the claim that most medical malpractice lawsuits are dropped or dismissed. Find z-score z= (Round to two decimal places as needed.)
Historically, the percentage of U.S. residents who support stricter gun control laws has been 55%. A recent Gallup Poll of 2500 people showed 1723 in favor of stricter gun control laws . Assume the poll was given to a random sample of people. QUESTION Test the claim that the proportion of those favoring stricter gun control has changed from 0.55. Perform a hypothesis test, using a significance level of 0.01. What is the probability of Z obt? (round to the nearest hundredth)

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