21. The null hypothesis for this ANOVA problem is? Consider the following ANOVA table.Sourceof VariationSumDegreesof FreedomMeanof SquaresSquareBetween Treatments2073.614Between Blocks6000151200Error20288Total29The null hypothesis for this ANOVA problem isΟμ1 μ2= ... = μ 20.Ομ1- μ2-μ3 -μ4- μ 5.Ομ1- μ2-μ3- μ4- μ 5 = μ 6.Ο μι-μ2 = μ3 - μ 4.

ANOVA compares the means of more than population. Degrees of freedom for treatment is 4. Thus,…

Answered: Consider the following ANOVA table.…

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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36% of canadians are single and 20 % are corona infected whereas 12 % are single and corona infected. Given that a selected individual is married, the probabilty that he/ she is corona infected 0.750 0.125 0.250 0.875
Assume that the null hypothesis is mean male GPA minus mean Female GPA less than or equal to zero. What is the correct p-value
What is F test of the null hypothesis?
A private and a public university are located in the same city. For the private university, 1042 alumni were surveyed and 655 said that they attended at least one class reunion. For the public university, 804 out of 1317 sampled alumni claimed they have attended at least one class reunion. Is the difference in the sample proportions statistically significant? (Use α=0.05) a) Reject the null hypothesis which states there is no difference in the proportion of alumni that attended at least one class reunion in favor of the alternate which states there is a difference in the proportions. b) Fail to reject the null hypothesis. There is not enough evidence to conclude that there is a difference in the proportions. c) There is not enough information to make a conclusion.
If the p-value is very large (say close to 1), then it is likely that we will reject the null hypothesis. True False
An institute conducted a clinical trial of its methods for gender selection. The results showed that 153 of 276 babies born to parents using a specific gender-selection method were boys. Use the sign test and a 0.05 significance level to test the claim that the method has no effect on the likelihood of a boy. Let p denote the population proportion of baby boys. Ignore the possibility of the method decreasing the likelihood of a boy. What are the null and alternative hypotheses? O A. Ho: p=0.5 H₂₁: p20.5 O C. Ho: p=0.5 H₁: p=0.5 O B. Ho:p>0.5 H₁: p=0.5 O D. Ho: p=0.5 H₁: p > 0.5 Find the test statistic. Test statistic = Find the P-value. P-value = (Round to four decimal places as needed.) Determine the proper conclusion. Choose the correct answers below. Since the P-value is (Round to two decimal places as needed.) than the significance level, evidence that the method used is effective in increasing the likelihood of a boy. the null hypothesis. There is
1- Type II error occurs when a false null hypothesis is not rejected Select one: True False
Employees of MNM Corporation are about to undergo a retraining program. Management is trying to determine the best of three programs. They believe that the effectiveness of the programs may be influenced by gender. To account for the potential differences due to program, gender and interaction, a factorial experiment was designed. Use the following data and the ANOVA output. Program Type Program 1 Male Female 320 380 240 300 Program 2 160 240 180 210 Program 3 240 360 290 380 Anova: Two-Factor With Replication ANOVA Source of Variation P-value F crit SS df MS F Program 36150 18075 12.76 0.0069 5.1433 Gender 16133 1 16133 11.39 0.0150 5.9874 Interaction 1517 2 758 0.54 0.6111 5.1433 Within (Error) 8500 6. 1417 Total 62300 11
When we test the hypothesis, can you explain the difference between one and of two-sample tests? How would I know if I can reject this null hypothesis? Can you give an example of the one and two-sample tests? Why does the t-value have different formulas in a two-sample test?
4. attachment
For a hypothesis test, the critical region is defined as the set of sample outcomes that is very unlikely to be obtained if the null hypothesis is true. True False
In this case, p-value is greater. So null hypothesis should not be rejected, correct?

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