ypothesis test for the difference between two population proportionsEzyBooks catalogCHALLENGE 8.2.1: Hypothesis testing for two population proportions (left-tailed z-test).ACTIVITY4025622600368.qx3zqy7Jump to level 1A state housing department is trying to determine if housing prices in county B are lower than in county A. Thedepartment decides to randomly sample recently sold houses in both counties and determine what proportionsold for more than $250,000. Since county A is considerably larger than county B, the housing department chosea larger sample from county A. The results of the data collected are shown below.County ACounty BSuccesses366 Successes192Observations700 Observations400p-hat_10.523 p-hat_Z0.48pP= Ex: 1.234 +Confidence levelz-score-1.372p-value2County A samples: n₁ = Ex:9County B samples: n₂ =Sample proportion for county A samples: p₁ = Ex: 1.234Sample proportion for county B samples: p₂0M2 = Ex: 1.234LJune(CO

Answered: A state housing department is trying to…

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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The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
UBS Wealth Management UK periodically ask their customers to evaluate their financial consultants and services. The higher the customer rating, the better the perceived service. The maximum rating is 7. Independent samples of two financial consultants are given below. Consultant A has 10 years' experience, Consultant B has 1 years' experience. Use α = 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. Consultant A Consultant B N1 = 16 N2 = 10 Mean1 = 6.82 Mean2 = 6.25 S1= 0.64 S2 = 0.75 State the null and alternative hypothesis, Compute the value of the test statistic. What is the p-value? What is your conclusion?
If sample data is such that for a one-tailed test of ? you can reject H0 at the 1% level of significance, can you always reject H0 for a two-tailed test at the same level of significance? Explain your answer? A. Yes. If H0 for a one-tailed test is rejected at the 1% level of significance, it will always be rejected for a two-tailed test at the same level of significance. B. No. If H0 for a one-tailed test is rejected at the 1% level of significance, it will never be rejected for a two-tailed test at the same level of significance. C. Yes. The P-value for the two-tailed test could be greater than 0.01. D. No. The P-value for the two-tailed test could be greater than 0.01.
A person is interested in studying the amount of time (in minutes ) people spend on social media in a day. The following data is collected from a sample of 12 people : 45, 60,25,55,75,90,100,120,105,80, 0 and 220. Does the data contain outlier(s)? Explain your reasoning. ( use empirical rule and use the quartile method to check ).
Do people in different political parties use similar modes of transportation? Researchers ask a group of people about how they get to work. They also group the people by their political party. They want to determine if the distribution of transportation is the same for democrats and republicans. The data are recorded in the contingency table below, and a chi-square Homogeneity Test at the 1% significance level is performed. Car Public Transit Walk Row Total Democrats 21 16 6 43 Republicans 8 25 16 49 Column Total 29 41 22 92 Select the correct null and alternative hypotheses for this test. Select all that apply: H0: The distribution of the two populations are the same. Ha: The distribution of the two populations are not the same. H0: The distribution of the two populations are not the same. Ha: The distribution of the two populations are the same.
nce between two population proportions EzyBooks catalog Jump to level 1 A city council is trying to determine if library B, with extended hours, has a higher proportion of patrons under the age of 18 than library A, which closes at 6:00 pm. A random sample of patrons from both libraries are checked. The results of the data collected are shown below. Library A Library B Successes 56 Successes 97 200 Observations 150 Observations p-hat_1 0.373 p-hat_2 0.485 Confidence Level 95% p=Ex: 1.234 + z-score 2,091 p-value 0.0183 H Library A patrons: n₁ = Ex: 9 Library B patrons: n₂ = Sample proportion for library A patrons: p₁ = Ex: 1.234 Sample proportion for library B patrons p₂ = O Ó 3 O 165 T 0 DIMINU LAY 2= Ex: 1.234 Ot d (0 W
A marketing director developed a short television commercial to improve the image of a company. The commercial was tested on 20 people. People’s attitudes about the company were measured with a questionnaire when they first came in for the experiment and then again with the same questionnaire after viewing the commercial. Which statistical test would be best to determine if there is a significant difference between measures? one-sample t-test dependent samples t-test independent samples t-test ANOVA
Internet Doctors: Hypothesis Test Use the survey results given in Exercise 1 and use a 0.05 significance level to test the claim that the majority of adults learn about medical symptoms more often from the Internet than from their doctor.
A researcher investigates whether single people who own pets are generally happier than singlepeople without pets. A group of non-pet owners is compared to pet owners using a mood inventory.The pet owners are matched one to one with the non-pet owners for income, number of closefriendships, and general health. A. Single-sample z-testB. Single-sample t-testC. Independent samples t-testD. Related samples t-test (repeated measures or matched samples)E. Correlation
Pls help ASAP. Pls show all work.
Start A university department chair believes that the afternoon section of a large survey class has a consistently lower proportion of students that pass the class compared to the morning section. The chair checks a random sample of student records from each section. The results of the data collected are shown below. Morning section Afternoon section Successes Observations p-hat_1 346 Successes 400 Observations 0.865 p-hat_2 Confidence level -0.5548 p-value 3-2 6 1 R P = Ex. 1.234 Morning section samples: ₁ Ex: 9 Afternoon section samples: n₂ Sample proportion for morning section samples: p₁ = Ex 1.234 Sample proportion for afternoon section samples: p₂ = 1 # Check H 500 0.852 2 |0|| (1 JES:1 2 (

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