Independent random samples were selected from two quantitative populations, with sample data given below. Using the p-value approach for the data given below, is there sufficient evidence to show that u, is larger than H, at the 1% level ofsignificance?n1= 34,n2 = 42, x1 = 36.7, x, = 33.5,s, = 5.0, s2 = 3.3Use the value of the test statistic 3.21 to calculate the p-value for the test. (Round your answer to four decimal places.)p-value =

Answered: Image /qna-images/answer/9d502e55-b34c-4a38-aa22-49377ac14d92.jpg

Answered: Independent random samples were…

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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SAT scores are normally distributed with a mean of 1,800 and a variance of 22,500. Given arandom classroom of 400 students, about how many should have scores between 1350 and1950?
A repeated-measures related samples study is used to compare two treatments with a sample of n=4 participants. These data produces Mp=3 with SS==48 for the set of difference scores. What is the repeated-measures t statistic for these data? A. 3/4=0.75 B. 3/ square root 3 = 1.73 C. 3/16=0.19 D. 3/2=1.50
The proportion of students who pass the Virginia 8th grade SOL test before 2005 on the first try was greater than 84%. If a new random sample of 1250 test scores is collected to determine if the pass rate is still above 84% and 1075 students passed, what is the P-value and decision of this test? Test at the 0.05 level of significance. Assume all conditions are met and use the one sample Z-test on the proportion. P-value = 0.9731. Reject the null hypothesis. P-value = 0.9731. Do not reject the null hypothesis. P-value = 0.0269. Do not reject the null hypothesis. P-value = 0.0269. Reject the null hypothesis.
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Don't need help with first part of a, got that figured out. Recall that small effects may be statistically significant if the samples are large. A study of small-business failures looked at 147 food-and-drink businesses. Of these, 103 were headed by men and 44 were headed by women. During a three-year period, 15 of the men's businesses and 6 of the women's businesses failed. (a) Find the proportions of failures for businesses headed by men (sample 1) and businesses headed by women (sample 2). These sample proportions are quite close to each other. p̂men = p̂women = Give the P-value for the z test of the hypothesis that the same proportion of women's and men's businesses fail. (Use the two-sided alternative.) The test is very far from being significant. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value = (b) Now suppose that the same sample proportions came from a sample of 30 times as large. That is, 180 out of…
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