In a previous year, 56% of females aged 15 and older lived alone. A sociologist tests whether this percentage is different today by conducting a random sample of 350 females aged 15 and older and finds that 202 are living alone. Is there sufficient evidence at the a=0.01level of significance to conclude the proportion has changed?Because npo (1-Po) = 86.2 > 10, the sample size is(Round to one decimal place as needed.)Identify the null and alternative hypotheses for this test.Ноversus H₁(Type integers or decimals. Do not round.)less than5% of the population size, and the sampleisa random sample, all of the requirements for testing the hypothesis are satisfiedJhy4 ▸

Answered: Image /qna-images/answer/55f0891f-61b7-4fc9-b965-be32576d337f.jpg

Answered: In a previous year, 56% of females aged…

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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3) Two hundred hypertensive patients are assigned to a diet program. Blood pressure is measured on each patient both before the program starts and 3 months after the start of the program. The correct statistical procedure to determine whether or not the mean blood pressure change (after-before) changed significantly different in the patients is: a. Paired t-test b. 2 sample unpaired t-test c. Fisher's exact test (an exact version of the chi-squared test for 2x2 contingency tables) d. None of the above
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A recent national report states the marital status distribution of the male population age 18 or older is as follows: Never Married (31.7%), Married (54.7%), Widowed (2.8%), Divorced (10.8%). The table below shows the results of a random sample of 1888 adult men from California. Test the claim that the distribution from California is as expected at the a 0.10 significance level. = a. Complete the table by filling in the expected frequencies. Round to the nearest whole number: Frequencies of Marital Status Outcome Frequency Expected Frequency Never Married 624 Married 1015 Widowed 36 Divorced 213 b. What is the correct statistical test to use? Goodness-of-Fit c. What are the null and alternative hypotheses? Ho: The distribution of marital status in California is not the same as it is nationally. Marital status and residency are dependent. The distribution of marital status in California is the same as it is nationally. Marital status and residency are independent. H₁: Marital status and…
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