A Type I error means That I didn't have a large enough sample to make a decision That I accepted the null hypothesis, when it is really false That my positive hypothesis is incorrect That I rejected the null hypothesis, when it was really true

A Type I error means That I didn't have a large enough sample to make a decision That I accepted the null hypothesis, when it is really false That my positive hypothesis is incorrect That I rejected the null hypothesis, when it was really true

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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For the following questions, THERE IS NO NEED FOR EXPLANATION. PLEASE PROVIDE JUST THE ANSWER THANK YOU. Please DO NOT waste time on writing things to explain. Please answer in 30 mintues or else I will write a bad review. If you follow my rules and answer in less than 30 mintues then I will write a very long and wonderful review about you. ANSWER the questions correlty and please answer all the questions with what it regards in saying exactly.
A private and a public university are located in the same city. For the private university, 1046 alumni were surveyed and 653 said that they attended at least one class reunion. For the public university, 791 out of 1327 sampled alumni claimed they have attended at least one class reunion. Is the difference in the sample proportions statistically significant at the 1% level? (Null and Alternate Hypothesis and Rejection Region) [Group 1: Private University; Group 2: Public University] A. Ho: p1 = p 2; Ha: p 1 < p 2; Rejection Region: z < -2.33 B. Ho: p 1 = p 2; Ha: p 1 < p 2; Rejection Region: z < -1.64 C. Ho: p 1 = p 2; Ha: p 1 > p 2; Rejection Region: z > 2.33 D. Ho: p 1 = p 2; Ha: p 1 ≠ p 2; Rejection Region: z < -2.58 or z > 2.58 E. Ho: p 1 = p 2; Ha: p 1 ≠ p 2; Rejection Region: t < -3.02 or t > 3.02 (Test Statistic) A. z = 1.372 B. z = 1.398 C. z = 69.517 D. z = 1.400 E. z = 6.508 (p-value and conclusion) A. p = 0.919; RHo (Sufficient evidence…
What does the null hypothesis assume for two independent sample t test?
A group of 250 patients was randomly split into two groups of 125 patients. The first group of 125 patients was given treatment A, and 72 of them improved their condition. The second group of 125 patients was given treatment B, and 60 of them improved their condition. Perform a hypothesis test to investigate whether there is evidence of a difference between the two treatments. What is the p-value of the test?
For a two-sided hypothesis test with significance level alpha, the probability that the null hypothesis will be accepted when it is actually true is 1 - (alpha/2) alpha/2 1 - alpha insufficient information alpha