What is the key difference between a test of independence and a test of similarity and homogeneity?Select one:O a.The test of independence is a one-tailed test, whereas the test of homogeneity or similarity is a two-tailed test.O b.In a test of independence, the chi-squared test statistic has a different distribution than in a test of similarity.O c.In a test of independence, we only know the total sample size, whereas in a test of similarity or homogeneity, we know the sizes of thesampled groups we want to compare.

chi square test of independence helps us to find whether 2 or more attributes are associated or not.…

Answered: What is the key difference between a…

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 these scenarios means that a pretest-posttest design with a non-equivalent control group is not suitable? Select all that apply. O a. All of the available participants will be receiving the intervention at the same time. O b. Authors want to examine for any trends in the data over time. O c. The participants were placed into the experimental and control groups by natural circumstances rather than random assignment. O d. Authors want to compare averages between two groups before and after the intervention using an ANOVA.
One-way ANOVA is a procedure for comparing the means of several populations. It is the generalization of what procedure for comparing the means of two populations? A. pooled t-procedure B. nonpooled t-procedure OC. paired t-test OD. None of the above In One-way ANOVA, identify the statistics (SSTR, MSTR, SSE, MSE or F) used (a) as a measure of variation among the sample means (b) as a measure of variation within the samples (c) to compare the variation among the sample means to the variation within the samples
According to the manufacturer of M&M candy, the color distribution for plain chocolate M&Ms is 13% brown, 13% red, 14% yellow, 24% blue, 20% orange, and 16% green. Using a chi-squared goodness of fit test, do the M&Ms in our sample suggest that the color distribution is different? Sample Color Frequency: Brown 38Red 32Yellow 51Blue 58Orange 74Green 47Total 300
A running coach wanted to see whether runners ran faster after eating spaghetti the night before. A group of six runners was randomly chosen for this study. Each ran a 5 kilometer race after having a normal dinner the night before, and then a week later, reran the same race after having a spaghetti dinner the night before. The times for their races are shown in the table below. What test statistic should be used in a test for these samples? Runner Runner 5 6 Runner 1 Runner 2 Runner 3 Runner 4 Regular Dinner 1019 s 1004 s 1028 s 989 s 1035 s 1015 s Spaghetti 1012 s 999 s 1025 s 988 s 1036 s 1018 s Dinner 2.45 -2.45 ±1.31 O 1.31
A) What is the mean difference score, MD? (Hint: fill in the difference column using TMS - minus - Sham) a. 4 b. 5 c. 20 d. 4.2 B) What is the sample variance, s2, for the difference scores? a. 7.2 b. -9 c. 8.5 d. 9
Ballistic Fingerprinting. Guns make unique markings on bullets they fire and their shell casings. These markings are called ballistic fingerprints. An ABCNEWS Poll examined the opinions of Americans on the enactment of a law “. . . that would require every gun sold in the United States to be test-fired first, so law enforcement would have its fingerprint in case it were ever used in a crime.” The following problem is based on the results of that poll. Independent simple random samples were taken of 537 women and 495 men. When asked whether they support a ballistic fingerprinting law, 446 of the women and 307 of the men said “yes.” At the 1% significance level, do the data provide sufficient evidence to conclude that women tend to favor ballistic fingerprinting more than men?
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Find the range, variance, and standard deviation for the given sample data, if possible. If the measures of variation can be obtained for these values, do the results make sense? Biologists conducted experiments to determine whether a deficiency of carbon dioxide in the soil affects the phenotypes of peas. Listed below are the phenotype codes, where 1 equals smooth-yellow, 2 equals smooth-green, 3 equals wrinkled yellow, and 4 equals wrinkled-green. a. The range of the sample data is (Type an integer or a decimal. Do not round.) b. the standard deviation of the sample data is (Round to one decimal place as needed.) c. The variance of the sample data is (Round to one decimal place as needed.)
In the General Social Survey, respondents were asked "If your party nominated a woman for President, would you vote for her if she were qualified for the job?" A two-way table summarizing the results for 953 respondents, by gender, is shown below: Gender Female Male Total Vote for female candidate? Yes No 488 66 335 64 823 130 The chi-square test statistic = 3.35. At a significance level of 0.05, what is your conclusion? O The null hypothesis is not rejected: there is no association between gender and support for a female president Total 554 399 953 O The null hypothesis is rejected: there is an association between gender and support for a female president. O The null hypothesis is not rejected: there is an association between gender and support for a female president. ty O The null hypothesis is rejected: there is no association between gender and support for a female president. Q Search or enter address +
What are the values for SS and variance for the following sample of n = 3 scores? Sample: 8, 5, 2
Which outcome is expected if the null hypothesis is true for an analysis of variance? a. SSbetween should be about the same size as SStotal. b. SSbetween should be about the same size as SSwithin. c. MSbetween should be about the same size as MStotal. d. MSbetween should be about the same size as MSwithin.

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