. In the weeks leading up to the 2016 presidential election, a random sample of 1001 likely voters innorthern California was selected by a major polling organization. Each person was asked who he/sheplanned to vote for in the upcoming presidential election. Of those surveyed, 125 claimed to still beundecided about their preferred candidate. To which of the following populations can the results ofthis survey be safely generalized?(A) All likely voters in California(B) Only undecided voters in northern California(C) Only registered voters in northern California(D) Only likely voters in northern California(E) Only the 1001 likely voters in northern California that were surveyed

In statistics, generalization refers to the process of applying the findings or results of a study…

Answered: . In the weeks leading up to the 2016…

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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In a simple study about coffee habit in two towns, the following information was received: Town A: Females were 40%; Total coffee drinkers were 45% and male non-coffee drinkers were 20%. Town B: Males were 55%, male non-coffee drinkers were 30% and female coffee drinkers were 15%. Represent the above data in a tabular form.
A local bank has three branch offices. The bank has a liberal sick leave policy, and the CEO was concerned with employees taking advantage of this policy. She thought that the tendency to take advantage depended on the branch at which the employee worked. To see if there were differences in the time employees took for sick leave, she asked each branch manager to sample employees randomly and record the number of days of sick leave taken during 2020. Ten employees were chosen, and the data are listed below. Do this data indicate a difference in branches? Use a level of significance of 0.05. Ho: H₂: Branch 1 Branch 2 Branch 3 Source Treatments Error Total Degrees of freedom: Rejection region: Test statistic: Decision: Conclusion: 15 11 18 df 2 7 9 20 15 19 SS 89.8333 50.6667 140.5000 19 11 23 MS 44.9167 7.2381 14 F 6.2056
The Women’s Institutional Studies group at a Midwestern university wanted to compare the percentages of female faculty members in the various units on campus in Spring 2004. Of particular interest were the percentages of female faculty in the College of Education and in the College of Business . In a sample of 80 College of Education faculties, there were 36 females, and in a sample of 70 College of Business faculties, there were 15 females. Based upon this sample information, which of the following is the 98% confidence interval for the difference in the actual percentages of female faculty between College of Education and College of Business ? a. (0.075, 0.405). b. (0.123, 0.357). c. (-0.012, 0.252). d. (0.058, 0.422). e. (0.101, 0.379).
This question refers to a survey of a university's faculty members on affirmative action policies for the university. The survey was based on telephone interviews with a random sample of 1,001 faculty members conducted in December 1995. One of the questions asked was, "Do you favor or oppose using race, religion, sex, color, ethnicity, or national origin as a criterion for admission to the university?" Of the 704 male respondents, 45% said "Favor," and of the 297 female respondents, 72% said "Favor." (a) Find the conservative margin of error (in %) for the male respondents. (Round your answer to one decimal place.) % Use the conservative margin of error to compute an approximate 95% confidence interval for the percent who favored this policy at the time of the poll in the population of male faculty members. (Round your answers to one decimal place.) (_,_)% , % (b) Find the conservative margin of error (in %) for the females. (Round your answer to one decimal…
9
A survey asked 827 randomly sampled registered voters in California to select a response best fitting their opinion about drilling for oil and natural gas off the coastline of California. Response options include (1) Support, (2) Oppose, or (3) Do not know enough to answer. Data was disaggregated along whether respondents were college graduates or not. Here's the data: Support Drilling Oppose Drilling Doesn't Know Graduated College 154 180 104 Didn't Graduate College 132 126 131 Does this data show a statistically significant difference in the support of drilling between those who graduated college and those who didn't?
3. A newly graduate of administration of justice has been hired by the regional director of the FBI to take a poll of a residential area to determine the proportion of residents who would be opposed to a gun exchange program in their community. The regional director of the FBI told her that if 50% or more of the residents are opposed to the idea, a gun exchange program will not be implemented. She takes a random sample of 150 household heads in the community and find that .42 of those sampled are opposed to the idea. Build a 99% confidence interval around this point estimate. Is 50% within her interval? What would she advise the regional director of the FBI who hired her?
The following table shows the ethnic origins of two random samples of students from a Canadian university, one from 2012 and the other from 2022: European 2012 2022 African Asian 308 58 52 364 100 58 Note: Canadian born students are classified according to their ancestry. (a) What would be an appropriate test to check if there has been an overall change in the distribution of ethnic origins among the student population of that university between 2012 and 2022? Justify your answer. ] Other 22 38 (b) Based on your answer in (a) above, test whether there has been an overall change in the distribution of ethnic origins among the student population of that university between 2012 and 2022. Use a 5% significance level and show your detailed manual calculations and all the steps of your hypothesis test (hypotheses, significance level, expected cell frequencies (rounded to 1 decimal), test statistic, decision criteria, critical value and p-value, conclusion with justification). (Manual…
We wish to determine whether there is a relationship between the gender of ateenager and their preferred brand of running shoes. A survey of 200teenagers produced the following results: Preferred BrandGender,Nike, Asics ,New Balance and TotalFemale nike24 ascis19 new balance59 total102 Male nike32 asics28 new balance38 total98 Total nike56 asics47 new balance97 total200 Perform an appropriate test at a 5% level of significance to determine whetherthere is a relationship between the gender of teenagers and the preferredbrand of running shoes.
Sierra College students enrolled in an online Elementary Statistics course were asked to participate in an anonymous onlne survey. The survey asked the students "Which type of device will you primarily use to access your online course in Canvas?". Of the 152 students who answered this question, 20 responded "a desktop computer", 121 responded "a laptop computer", 6 responded "a smartphone", and 5 responded "a tablet". The Sierra College Mathematics Department believes that less than 5% of students enrolled in an online Elementary Statistics course primarily uses a smartphone to access their online course in Canvas. Use the data collected in the survey to conduct a hypothesis testing procedure to test this belief. What conclusion should be reached according to the results of this hypothesis test?
A sample of 306 people is surveyed. The people are classified according to political affiliation ("Democrat", "Republican", or "Independent"). They are also classified according to opinion on a bill ("in favor of", "opposed to", or "indifferent to"). The results are given in the contingency table below. In favor of Opposed to Indifferent to Democrat 20 38 41 Republican 20 29 44 Independent 49 37 28 What is the relative frequency of respondents who are in favor of the bill? Round your answer to two decimal places. ?

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