It has been suggusted that the highest priority of retirees is travel. Thus, a study was conducted to investigate the differences in the length ofstay of a trip for pre- and post-retirees. A sample of 688 travelers were asked how long they stayed on a typical trip. The observed results of the studyare found below.Number of Nights Pre-retirement Post-retirement Total4-72361674038-13816014114-2133558822 or more193756Total369319 688With this information, construct a table of estimated expected values.Number of Nights Pre-retirement Post-retirement4-78-1314-2122 or moreNow, with that information, determine whether the length of stay is independent of retirement using a 0.05.(b) Find the degrees of freedom:(c) Find the critical value:(d) The final conclusion isA. There is not sufficient evidence to reject the null hypothesis that the length of stay is independent of retirement.B. We can reject the null hypothesis that the length of stay is independent of retirement and accept the alternative hypothesis that the two aredependent.

Chi-square distribution : A probability density function that, among other things, has the property…

Answered: It has been suggusted that the highest…

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 Pew Research Center conducts an annual Internet Project, which includes research related to social networking. The provided two‑way table about the percentage of U.S. adults surveyed who use at least one social media site, broken down by age, is based on data reported by Pew as of February 2019. Use Social Media Yes No Total Age 18-29 Age 18-29 212212 2424 236236 Age 30-49 Age 30-49 324324 7171 395395 Age 50-64 Age 50-64 293293 131131 424424 Age 65+ Age 65+ 156156 235235 391391 To access the complete data set, click the link for your preferred software format. CSV Excel JMP Mac-Text Minitab14-18 Minitab18+ PC-Text R SPSS TI CrunchIt! Regard the Internet Project survey as approximately an SRS of Americans over the age of 18.of 18. The data came from the Pew Social Networking Fact Sheet, obtained at www.pewresearch.org/internet/fact-sheet/social-media. Give a 99%99% confidence interval for the proportion of Americans over…
Please answer question 11.5
Please answer correctly.
Please see below.
A health educator wants to evaluate the effect of a dental film on the frequency with which children brush their teeth. A random selection of 8 children is used for the experiment. First, a baseline of the number of times the children brush their teeth over a month’s period is established. Next, the children are shown the dental film and again the number of teeth brushings are recorded for a month. The following data are recorded: Subject 1 2 3 4 5 6 7 8 After Film 28 29 25 30 25 27 28 24 Baseline 25 28 22 30 26 24 25 22 What is the nondirectional alternative hypothesis? df = ∑ D2 = __ Dobt = µD = SSD =
On occasion, medical studies need to model the proportion of the population that has a disease and compare that to observed frequencies of the disease actually occurring. Suppose the end-stage renal failure in south-west Wales was collected for different age groups. Do the data in the table show that the observed frequencies are in agreement with proportion of people in each age group? Test at the 1% level. Renal Failure Frequencies Age group 16-29 30-44 45-59 60-74 75+ Total Observed Frequencies 125 152 134 124 48 583 Expected Proportion 0.23 0.25 0.22 0.21 0.09 State the hypotheses.H0: The observed frequencies in agreement with proportion of people in each age group.Ha: The observed frequencies in agreement with proportion of people in each age group. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to 3 decimal places.χ2 = Calculate the p-value. Round to 3 decimal places.p-value = State your decision.Since p-value α,…
Your statistics instructor often ponders the relationship between commute time and job satisfaction while driving back and forth to campus. Your instructor hypothesizes that people with a shorter commute time will have higher degrees of job satisfaction. Randomly sampling 600 Valley commuters, the instructor finds the following data listed in frequencies: Table 2: Commuters by Length of Commute and Job Satisfaction Job Satisfaction Number Who Commute 20 Minutes or Less Number Who Commute 21 to 40 Minutes Number Who Commute 41 Minutes or More Total Number for Each Level of Job Satisfaction Dissatisfied 10 60 140 210 Neutral 45 59 51 155 Satisfied 145 60 30 235 Total Number for Each Commute Time Range 200 179 221 1. Change frequencies to column percentages.
Foxbees magazine published data on the best small firms in 2012. These publicly traded firms have a stock price of at least $5 per share and have reported annual revenue between $5 million and $1 billion. The data below shows the ages of the corporate CEOS for a random sample of these firms. 49 67 59 48 45 49 39 44 37 38 48 38 43 48 62 74 70 58 58 40 74 35 36 54 38 45 54 55 64 75 69 36 55 72 69 60 40 64 39 59 74 52 40 49 38 38 74 50 55 50 R vector Copy to clipboard a) What is the mean of the sample? (Round to 4 decimal places) b) What is the standard deviation of the sample mean or the standard error? (Round to 4 decimal places) c) What is the sample size? (Round to whole number)
Chapter 13 A researcher wants to determine whether there is a difference in the mean age of community college prófessors, publiC university professors, and private university professors. Professors from each were randomly selected across America and their ages were recorded. The data is given below. Test whether there is a difference in the mean ages. Find the P-Value. Community College Public University Private University 23 38 45 28 36 45 27 41 39 37 47 61 52 42 36 25 31 35 O 0.3571 O 0.2357 O 0.1142 O 0.2289
Moving to another question will save this response. Question 5 Obtain the five-number summary for the given data. The test scores of 15 students are listed below. 42 45 50 53 57 61 67 68 75 76 85 87 90 94 95 O 42, 53, 71.5, 87, 95 42, 52.25, 71.5, 85.5, 95 O 42, 53, 68, 87, 95 O 42, 52.25, 68, 85.5, 95 A Moving to another question will save this response. earch F2 DII F3 F4 F5 PrtS 5 W
The data showed the population thousand for a recent year of a sample of citizen South Carolina the data value blank corresponds to the 46% 26 26 15 29 69 21 30 29 13 26 20 38 85 19 19 23 29 25 111 47 30 49 108 30 38

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