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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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 study of seat belt yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke dy are less concerned about their health and safety and are therefore less inclined to wear seat belts. Is this theory supported by the sample data? 5 sic Click the icon to view the data table. use. ..... Hа: Heavy Determine the test More info izlet. y of X-(Round to claim Number of Cigarettes Smoked per Day 15-34 Determine the P-v 1-14 35 and over le wh Wear Seat Belts 190 13 36 10 P-Value = (Rou Don't Wear Seat Belts 152 13 45 ww.nur y is that people ry supported by Use a 0.05 signific who smoke are les the sample data? nour seat Done theory is not zed in t Print O A. There is nd supported S Top eat belt. The O B. There is no theory is supportou Dy ao vampIG Gutu. O C. There is sufficient evidence to reject the claim that heavy smokers…
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
A two-sample hypothesis test is comparing the averages of the following populations. Population 1 is the salary of female employees and Population 2 is the salary of male employees. A hypothesis test was conducted to see if the average salary of males is greater than the average salary of females. Using the following as the output of the test, state the P-value and interpret the results in context to the problem. Use a significance level of 5% Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Females Males 65,852.00 89,562.00 1,003.00 1,025.00 45 30 0 37 -1.26 0.1200 1.3300 0.2400 1.2800 For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 10pt EEVA V Tx XQ5 二三 ||||| WORDS POWERED BY TINY
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.)
ANSWER LETTER D,E,F only
For a paired-sample study design, if the null hypothesis is true, then theoretically what value should be obtained for the sample mean? O Mp<0 O Mp = 0 O Mp20
Which of the following are consequences of heteroscedasticity for regression analysis? Choose as many statements as you think are correct. Incorrect answers are penalised. O a. Confidence intervals computed using the standard methods do not have the correct probability coverage. O b. The standard OLS estimator of B, is biased for i = = 1,...,k O. The estimated standard errors of the coefficient estimators, computed using the standard method, are reliable. O d. The standard OLS estimator of a is biased. O e. The standard OLS estimator of B, is inefficient for i = 1,..., k. Of. The t-statistics produced by the OLS procedure in Gretl should be disregarded, but the p-values are reliable.
What does the t test for the difference between the means of 2 independent populations assume? A. The sample sizes are equal. B. The sample variances are equal. C. The populations are approximately normal. D. All of the above
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.
A large sample size is needed to show significance in a test of two population standard deviation. O True O False
Create a research hypothesis that would be answered using either a z- or a t- test. I was thinking of doing a study on college students and the amount of articles they read in one year. Include the following: Introduction: Brief description of the study including the purpose and importance of the research question being asked. What is the null hypothesis? What is the research hypothesis? Participants/Sampling Method: Describe your sampling method. What is your sample size? Who is your population of interest? How representative is the sample of the population under study? Data Analysis: Describe the statistical analysis. What is your variable? What is its level of measurement? What is your alpha level? Results & Discussion: Did you reject the null hypothesis? What information did you use to lead you to your conclusion? Was your p value greater than or less than your alpha? NOTE: You can just make up numbers, but include your made-up p value

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