3. Give situation (one each) by which the different inferential statistics can be used. State thecorresponding null and alternative hypothesis.t-test of significant differenceInferential statisticsBetween sample & population meansBetween independent samplesBetween dependent samplest-test of significant relationshipz-test of significance ofz-test of significance of population proportions

Given that situation (one each) by which the different inferential statistics can be used. State the…

Answered: 3. Give situation (one each) by which…

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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Can I get some assistance with these true and false questions please, no explanation needed. True or false? A. The multiplication rule in probability allows for two events that can occur simultaneously B.The one way anova is constructed around the concept of determining goodness of fit between explanatory and outcome variable. C.The strength of association between two continuous variable can be determined by the correlation coefficient D.Z scores facilitate the proportional determination of a sample into segmental capture of accuracy and precision in data measurement. E. The chi-square allows for the use of expected data to be contrasted with observed data points F. Association between two categorical variables can be determined by simple linear regression. G. One can say that the regression and anova seem to be related because of the idea of finding the best fit for the data. H. The spread of the data which determines the error in the groups and between the groups is calculated by the…
One-way ANOVAPart 1. One-Way Analysis of Variance (ANOVA)1. Null Hypothesis (just in words): 2. Alternative Hypothesis (just in words). 3. Is the data violating one of the ANOVA assumptions? _______________
18. What statistic compares the variability between three or more group means with the variance of scores within the groups? Multiple correlation Multiple regression ANOVA
There are some temperature measurements of this month in San Francisco and Fresno. The sample size in San Fransico is 23 and the sample size in Fresno is 17. The sample means and variances were computed and tabulated in the following table: Sample Size Sample Mean (oF) Sample Variance (oF) San Francisco 30 75.5 4 Fresno 11 73.3 6 a) Is there a significant difference in the mean temperature between San Francisco and Fresno at a significance level of 5%? Assume that the population variances in both cities are the same. b) Based on the measurements, what are the confidence interval of variances in San Francisco and Fresbi, respectively? Use a 90% confidence level. c) Use the above question (question b) as an example, how does the number of samples affect the width of your confidence interval?
After the measles outbreak, the barangay captain of Big Rock wanted to assess the satisfaction of the residents to his actions during the outbreak. He then obtained a random sample of 5 residents per block (Block 1 to Block 5) and asked them their satisfaction (1 – very dissatisfied, 2- dissatisfied, 3- satisfied, 4- very satisfied). He wanted to know if the satisfaction of his residents differs across blocks. i. True or False: We should test the normality of responses per blocks before we proceed with the test of hypothesis on comparing these responses across blocks. ii. The appropriate alternative hypothesis in symbols is? a) At least one µi # µj, for izj, i,j=1,2,3,4,5 b) At least one Mdi + Mdj, for i#j, i,j=1,2,3,4,5 c ) μ1 μ2-μ3-μ4 μ5 d) Md1= Md2 = Md3 = Md4 = Md5 iii. Suppose the p-value of appropriate test is 0.0013, at 5% level of significance, we have evidence to say that at least one block has a different average a) Insufficient; measles outbreak b) Sufficient; measles…
Under what conditions should you use the pooled-variance t test to examine possible differences in the means of two independent populations?
An I/O psychologist wants to know if there is a difference in worker evaluations depending if the evaluator is a male or female. 15 men and 15 women managers were asked to rate on a scale of 0-10 the same group of worker files. The ratings on the worker evaluations were recorded for each manager. Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test independent samples t-test ANOVA
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Class 1 Final Sample Size: 30 Sample Variance: 80.55 Sample Mean: 44.2917 Class 2 Final Sample Size:30 Sample Variance: 55.29 Sample Mean: 36.4833 The assignment says to use the Z test for means and assume the hypothesized difference is 0. 1. Is there a significant difference in the means of the two finals at the .01 level of significance? 2. Why or why not?
Which of the following conclusions is correct for these test results? > bartlett.test(len~river, data=rivers) Bartlett test of homogeneity of variances data: len by river Bartlett's K-squared = 0.61394, df = 4, p-value = 0.5226 %3D Hint* the first line of code should tell you the type of test you are dealing with. There is NO significant difference in variances among the rivers. There is a significant difference in variances among the rivers. There is NO significant difference in means among the rivers.

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