The results of a recent poll on the preference of voters regarding mayoral candidates are shown below.VotersSurveyedVoters FavoringThis CandidateCandidateA400 (n1)180 (x1)B450 (n2)225 (x2)Using a = .05, test to determine whether or not there is a significant difference between the preferences for the two candidates.1. State your null and alternate hypotheses:2. What is the value of the test statistic? Please show all the relevant calculations.3. What is the p-value (observed level of significance)?4. What is the rejection criterion based on the p-value approach and what is the Statistical decision (i.e. reject /or do not reject the null hypothesis) based on the p-valueobtained?

Answered: Image /qna-images/answer/44eb7c48-5d65-4a94-876f-9c06f42a9ad1.jpg

Answered: The results of a recent poll on the…

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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A direct mail appeal for contributions from a university’s alumni and supporters is considered to be too costly if less than 14% of the alumni and supporters provide monetary contributions. To determine if a direct mail appeal is cost effective, the fundraising director sends the direct mail brochures to a simple random sample of 206 people on the alumni and supporters mailing lists. They receive monetary contributions from 21 people. Does this evidence demonstrate that the direct mail campaign is not cost effective? Use a 0.10 level of significance.Step 2 of 3 : Compute the value of the test statistic. Round your answer to two decimal places.
Suppose you work for a large cell phone distributor, and want to examine which brands of cell phones Canadians prefer around the country. Use the following example dataset regarding the number of users (in millions) based on phone preference and geographical location in Canada. Using this information, and assuming the sample represents the population of Canada perfectly, select all the statements below that are correct. |iPhone AndroidNeither 0.7 0.3 Ontario Quebec British Columbia Other 0.2 0.4 0.4 0.1 0.2 0.3 0.9 0.2 0.4 0.1 P(Ontarid Neither) -0.267 OP(Ontario)and P(British Columbia) are independent events. If a user was known to be from Quebec, the chance of them not using an iPhone is 50%. UP(Other) and P(Android) are not independent events. If a random Android user was selected, there is an approximately 23% chance that they are from British Columbia.
It is claimed that in a bushel of peaches, fewer than 10% are defective. A sample of 400 peaches is examined and 68 are found to be defective. What is the z-test statistic? Multiple Choice +0.170 +0.323 −4.645 +4.667
You intend to conduct an ANOVA with 31 subjects, which will be divided into 3 treatment groups. (Because it will be impossible to have equal sized groups, this is referred to as an "unbalanced" single-factor ANOVA.) What are the degrees of freedom for the numerator? d.f.(treatment) = What are the degrees of freedom for the denominator? d.f.(error) =
An LED light bulb manufacturer claims that the average lifespan of its 60-watt LED light bulbs is 27,000 hours. A corporate watchdog group is suspicious of the company's claim and thinks that the true average lifespan of the 60- watt LED light bulbs produced by the company may be less than the advertised 27,000 hours. The group collected and tested a random sample of 211 light bulbs and found the average lifespan of the sample was 26,941 hours. Use the p-value method to test the hypothesis that the mean lifespan of this brand of 60-watt LED light bulb is less than 27,000 hours, using a = 0.1. Assume the standard deviation of the lifespan of all such light bulbs is known to be 370 hours. State the null and alternative hypothesis for this test. Ho: ? H₁: ? Determine if this test is left-tailed, right-tailed, or two- tailed. right-tailed two-tailed left-tailed Should the standard normal (z) distribution or Student's (t) distribution be used for this test? The Student's t distribution…
Which of the following situations is appropriate for a two-factor (also called two-way) ANOVA test? Group of answer choices To determine if keyboard type and gender influence average writing performance. To determine if keyboard type influences average writing performance. To determine if gender influences average writing performance. None of the Above
Use SPSS for this Application Exercise: A health psychologist want to investigate whether there is a relationship between sex and food preference. The psychologist gave participants a questionnaire that asked which food the participants would choose to eat given the choice. What can be concluded with an a of 0.05? Food Sex spaghetti carrots donuts female 20 16 21 male 25 18 i. What is the appropriate test statistic? --Select- Compute the statistic selected in a): ii Obtain/compute the appropriate values to make a decision about Ho- p-value = Decision: -Select-- i Compute the corresponding effect size(s) and indicate magnitude(s). If not appropriate, input and/or select "na" below. Effect Size = ]: Magnitude: -Select-- iv I Make an interpretation based on the results. O There is a significant negative relationship between sex and food preference. O There is a significant food preference difference between sex. O Food preference and sex are independent.
A yearbook company was investigating whether there is a significant difference between two states in the percents of high school students who order yearbooks. From a random sample of 150 students selected from one state, 70 had ordered a yearbook. From a random sample of 100 students selected from the other state, 65 had ordered a yearbook. Which of the following is the most appropriate method for analyzing the results? A one-sample zz-test for a sample proportion A A one-sample zz-test for a population proportion B A two-sample zz-test for a difference in sample proportions C A two-sample zz-test for a difference in population proportions D A two-sample zz-test for a population proportion
The local sheriff has staked his campaign for re-election on the claim that that at least 88% of the drivers stopped on Saturday nights for speeding are under the influence of alcohol. A sample of 66 drivers who were stopped for speeding on a Saturday night was taken. Eighty percent of the drivers in the sample were under the influence of alcohol. Compute the test statistic.
Results from a civil servant exam are shown in the table to the right. Is there sufficient evidence to support the claim that the results from the test arediscriminatory? Use a 0.01 significance level. Passed Failed White candidates 17 14 Minority candidates 9 29 If: H0: White and minority candidates have the same chance of passing the test. H1: White and minority candidates do not have the same chance of passing the test. answer the following: **1. Determine the test statistic. x2 = ____ **2. Determine the P-value of the test statistic. p= ____
A community college wants to find out how students enrolled in remote courses feel about remote learning,so a random sample of students is needed to form a focus group. You are a data scientist in charge ofidentifying a sample of students for the focus group. Why is it important to select a random sample in this case? Would it be ok for the college to ask for volunteers for the focus group? Why or why not? Are there pros and cons for each samplingapproach? Which is best and why? Could Stratified Random Sampling have also been used? What benefits might this approach have inselecting the sample of students for the focus group? Explain or give an example of how this could bedone. 874786667172747718114301699108421009846176806728505883964138722994692957574451054463441011799713150445482678936083128648618194219333913373855511070208365643664235172417102465259067655654964950492581611669287944720629621174445585225321068039268392266267994

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