Determine the critical value(s) for a hypothesis test for the difference between two means (population standard deviations known) inder ta defns relection region(s)QuestionWhat is/are the critical value(s) of the z-test statistic for this hypothesis test, where a = 0.01? Usethe appropriate value(s) from the table. Use a comma and a space to separate answers as needed.Zo.10Z0.05zo.025Z0.01Z0.0051.2821.9602.3261.6452.576Provide your answer belowcritical value(s)

Introduction:It is given that the difference between two population means must be tested, when the…

Answered: Determine the critical value(s) for a…

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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Suppose we want to test that the average age of a The following table shows the Excel output for this test. Pstudent is not 27 years old. t-Test: Paired Two Sample for Means Score Dummy Mean 25.89474 Variance 5.43275 Observations Pearson Correlation Hypothesized Mean Difference 19 19 #DIV/O! 27 df 18 t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail -2.06696 0.02671 1.7341 0.05343 2.1009 Select the p-value for this test. 2.1009 O 0.05343 0.02671
Do men have a higher body temperature than women? Test the indicated claim about the means of two populations. Assume that the two samples are randomly selected, independent, the population standard deviations are not know and not considered equal. The table shows results from a study of body temperatures of men and women. At the 0.05 significance level, test the claim that men have a higher body temperature than women. Men Women n1 = 13 n2 = 16 xˉx̄1 = 97 °F xˉx̄2 = 95.17 °F s1 = 0.26 °F s2 = 0.57 °F What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.)H0: Select an answer x̄₂ μ₁ p p₂ μ₂ μ μ(men) p̂₁ x̄₁ σ₁² p₁ s₁² ? > < ≥ ≠ ≤ = Select an answer p̂₁ p₁ μ μ₁ p x̄₁ μ₂ s₁² x̄₂ μ(women) σ₁² p₂ H1: Select an answer σ₂² μ p̂₂ p₁ p p₂ x̄₁ μ(men) x̄₂ μ₂ μ₁ s₂² ? = ≤ > < ≥ ≠ Select an answer s₁² x̄₁ μ₂ μ p̂₁ x̄₂ σ₁² μ(women) p₁ p p₂ μ₁ Original Claim = Select an answer H₀ H₁ df = Based on the hypotheses, find…
How to write the hypothesis claim? My claim is students at the university use 10 or more hours of social media weekly. My sample was from 40 students
onsider the following hypothesis test: H 0: 50 H a: > 50 A sample of 70 is used and the population standard deviation is 9. Use the critical value approach to state your conclusion for each of the following sample results. Use = .05. a. With = 52.5, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?SelectYesNoItem 2 b. With = 51, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?SelectYesNoItem 4 c. With = 51.8, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?SelectYesNoItem 6
This output represents the hypothesis test that the average age at first pregnancy of women diagnosed with breast cancer is different depending on whether or not metastases are present (yes or no) at the time of breast cancer diagnosis.
Question Heip How do the requirements for a chi-square test for a variance or standard deviation differ from a z-test or a t-test for a mean? Choose the correct answer below. OA A chi-square test can only be used when the population has a normal distribution. On the other hand, a z-test or a t-test can only be used when the sample size is at least 30. O B. A chi-square test can only be used when the population has a normal distribution. On the other hand, a z-test or a t-test can be used when either the population has a normal distribution or the sample size is at least 30. O C. Az-test or a t-test can only be used when the population has a normal distribution. On the other hand, a chi-square test can be used when either the population has a normal distribution or the sample size is at least 30. O D. Az-test or a t-test can only be used when the population has a normal distribution. On the other hand, a chi-square test can only be used when the sample size is at least 30. Click to…
Do men talk less than women? The table shows results from a study of the words spoken in a day by men and women. Assume that the two samples are randomly selected, independent, the population standard deviations are not know and not considered equal. At the 0.05 significance level, test the claim that the mean number of words spoken by men is less than the mean number of words spoken by women. Men Women n1 = 212 n2 = 218 xˉx̄1 = 15706.4 words xˉx̄2 = 15683.2 words s1 = 1595.44 words s2 = 1597.54 words What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.)H0: Select an answer μ₁ μ σ₁² x̄₂ p x̄₁ s₁² p̂₁ μ(men) p₂ p₁ μ₂ ? ≤ > ≥ = ≠ < Select an answer μ₁ p₁ μ₂ x̄₂ σ₁² p̂₁ μ s₁² μ(women) p x̄₁ p₂ H1: Select an answer p̂₂ p s₂² σ₂² μ(men) μ μ₂ x̄₂ x̄₁ p₂ μ₁ p₁ ? < > = ≠ ≥ ≤ Select an answer μ₂ μ p₂ s₁² p₁ x̄₁ σ₁² p̂₁ p μ₁ x̄₂ μ(women) Original Claim = Select an answer H₁ H₀ df = Based on the hypotheses, find the…
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What is the name of this hypothesis test? Do male and female servers at Applebee's work the same number of hours? A random sample of 45 female servers worked an average of 36 hours per week, with a standard deviation of 2. A random sample of 62 male servers worked an average of 29.5 hours per week, with a standard deviation of 4. O Chi-Square Test for Independence O One Sample z Test OTwo Proportion z Test Z. OLinear Regression t Test O Chi-Square Goodness of Fit Test O Paired Samples t Test OTwo Independent Samples t Test O One Sample t Test O One Proportion z Test OANOVA
A researcher wants to measure average cardiovascular health of university students and compare those scores to the average scores in the general population. Assuming that population variance is known, what statistical test is most appropriate for this study? independent-samples t-test single-sample t-test z-test for sample mean related-samples t-test

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