For the given table of observed values,Construct the corresponding table of expected values.b. If appropriate, perform the chi-square test for the null hypothesis that the row andcolumn outcomes are independent. If not appropriate, explain why.a.Observed Values215312A1039.B11141112

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Answered: For the given table of observed values,…

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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Test the claim below about the mean of the differences for a population of paired data at the level of significance a. Assume the samples are random and dependent, and the populations are normally distributed. Claim: H, 20; a = 0.05. Sample statistics: d= -2.2, s, = 1.5, n= 14 Identify the null hypothesis by writing its complement. O A Ho: Ha0 H: Ha =0 O B. Hg: Hg s0 OC. Ho: Ha =0 O D. Ho: Ha 0 H: Hg s0 The test statistic is t=. (Round to two decimal places as needed.)
Test the claim that the proportion of men who own cats is larger than 20% at the .01 significance level. The null and alternative hypothesis would be: Ho: P 0.2 Hop 0.2 Hoμ = 0.2 H₁: p0.2 H₁ : μ 0.2 (to 2 decimals) (to 2 decimals) Ho: p = 0.2 0 H₁: p < 0.2
Test the claim that the mean GPA of night students is smaller than 2.2 at the 0.025 significance level. The null and alternative hypothesis would be: Ho: 2.2 Ho:p ≤ 0.55 Ho:p≥ 0.55 Ho:p = 0.55 Ho:μ = 2.2 Ho:μ ≤ 2.2 H₁: 0.55 H₁:p 2.2 The test is: two-tailed left-tailed right-tailed Based on a sample of 35 people, the sample mean GPA was 2.15 with a standard deviation of 0.04 The p-value is: Based on this we: O Fail to reject the null hypothesis O Reject the null hypothesis (to 2 decimals)
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Which of the following statements below is incorrect about Type II error? The larger the effect size, the smaller the power of the test will be. For a given probability of type I error, the probability of type II error can be reduced by increasing the sample size. The power of a test is equal to 1-3, where represents the probability that a hypothesis test does not reject a false null hypothesis. The effect size measures the distance between the true population proportion and the value assumed for it in the null hypothesis.
The following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the a 0.1 level of significance. Category 1 Category 2 Category 3 Failures 84 34 48 Successes 65 72 62 State the hypotheses Choose the correct answer below. A H The categories of the variable and success and failure are dependent. H, The categories of the variable and success and failure are independent. B H PP2"P3 H, At least one of the proportions is different from the others. He The categories of the variable and success and failure are independent. H, The categories of the variable and success and failure are dependent. D. Ho H=E, and u, =E, and ua =E H, At least one mean is different from what is expected What is the P-value? (Round to three decimal places as needed.)
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Mitchell works in the produce section at a small local supermarket and would like to test whether the proportion of apples people purchase is the same for each season, using a significance level of 0.05. He analyzes the apple purchases each season for a year and records his findings in the following table. Season Spring Summer Fall Winter Total # of apples purchased 1023 1023 1066 1151 4263 (a) In performing this statistical test, state the hypotheses. H0: the observed number of apples people purchased is the same for each season vs. HA: the observed number of apples people purchased is not the same for each season H0: the distribution of apples people purchased is not the same for each season vs. HA: the distribution of apples people purchased is the same for each season H0: the proportion of customers is the same each season vs. HA: the proportion of customers is not the same each season H0: the total number of apples people purchased is not the same for each season vs. HA:…
Q5. Diamond and Lauren are looking at data from two groups. Diamond decides to run her analysis using a two-tailed test, whereas Lauren uses a one-tailed test. Who is more likely to commit a Type I error? A.) They're equally likely B.) Lauren C.) Not enough information to answer D.) Diamond Q6. Which of the following are assumptions of an independent samples t-test? A.) heterogeneity of variance; independence B.) heterogeneity of variance; nonnormality of distributions C.) homogeneity of variance; dependence D.) homogeneity of variance; normality of distributions Q7. If I want to know the probability of a coin landing on heads, so I flip the coin 100 times and record what it lands on, I'm using which view of probability: A.) Analytical B.) Subjective C.) Frequentist D.) Computational
Test the claim that the mean GPA of night students is significantly different than the mean GPA of day students at the 0.05 significance level. The null and alternative hypothesis would be: Ho: PNPD Ho: UN ≤ HD Ha:N HD Ha:μN > HD The test is: right-tailed two-tailed left-tailed O Ho: PNPD Ho: PNPD Ho: PN Ha:PN PD O
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