Problem:In a sample study about coffee habit in twotowns, the following information wasreceived:Town A: Females were 40%; Total coffeedrinkers were 45% and male non-coffeedrinkers were 20%. Male non-coffee drinkerswere 30% and female coffeeTown B: Males were 55%; drinkers were 15%.Represent the above data in a tabular form.

Answered: Image /qna-images/answer/c2fba581-b8b3-462b-a879-18899531912f.jpg

Answered: In a sample study about coffee habit in…

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 study identified Bridgeport, Connecticut, San Jose, California, Washington, D.C., and Lexington Park, Maryland as the four U.S. cities with the highest percentage of millionaires. The following data show the following number of millionaires for samples of individuals from each of the four cities. Millionaire Yes No Bridgeport, CT 49 451 % % O Ho: PB #PL# PN* PW = San Jose, CA % % 40 260 Ha: : Not all population proportions are equal. City (a) What is the estimate of the percentage of millionaires in each of these cities? (Round your answers to two decimal places.) Bridgeport, CT San Jose, CA Washington, D.C. Lexington Park, MD H₂: : All population proportions are equal. Washington, D.C. Lexington Park, MD O Ho: At least two of the population proportions are equal. Ha: : None of the population proportions are equal. (b) Using a 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. State the null and alternative…
In the 2014-2015 academic year, many public universities in the United States raised tuition and fees due to a decrease in state subsidies. The change in the cost of tuition, a shared dormitory room, and the most popular meal plan from the 2014- 2015 academic year for a sample of 10 public universities were as follows: $1589, $593, $1223, $869, $423, $1720, $708, $1425, $922 and $308. Run the descriptive statistic measures for this data set and interpret the results for the following concepts:
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).
Assume that you are employed by a mobile phone company and you want to characterize costumers on the basis of their mobile-phone activity. Which type of network would be most useful for representing the mobile-phone data of your company? Select one: a. Directed,Unweighted b. Directed,Weighted c. Simple d. Undirected, Weighted
Kindly assist with creating bar charts, or pie charts for the below results; The results of this study were based on interviews issued and completed by eleven (11) employees at the Hotel. This research study comprised 31.4% of the total workforce across the three departments, with a total of 35 employees who varied in age from 16 years to above 65 years. 63.6% of individuals who participated were female, while 36% were male. The interviews included participation from 30% of employees in the housekeeping department, 33% from Guest Services, and 31% from the Food and Beverage department. There is a higher representation of females across all departments, with a total of 7 females compared to 4 males. There is a range of tenure lengths, with some employees having just started (1 year) and others having been with the hotel for longer periods (up to 14.5 years).
Consider the following two sample data sets. Set 1: 7 5 3 8 9 Set 2: 8 13 14 2 5 a. Calculate the coefficient of variation for each data set. b. Which data set has less consistency (or more variability)?
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains (Consumer Reports website). One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for the Sun Coast Times thought that it would be of interest to her readers to conduct a similar study for restaurants located on the Grand Strand section in Myrtle Beach, South Carolina. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Use a = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. Source Sum of Squares Degrees Mean Square F P-value of Variation (to whole number) of Freedom (to 2 decimals) (to 2 decimals) (to 4 decimals) X X (X) * X * * Treatments Error Total The p-value is less than 0.01…
A recent health survey 500 single young men yielded the following information: 385 were a member of a sports club, 155 were vegetarian, and 30 declined to answer the survey’s questions. What percent of the men were both members of a sports club and vegetarian? Draw a Venn diagram to illustrate the result of the survey.
Darius surveyed 16 students and recorded the following data: 25 46 61 52 30 47 32 28 50 52 23 37 40 45 39 29 Construct stem-and-lead diagram: 21 31 41 51 61 ہے
Imagine a study comparing two groups: undergrad vs. graduate students in terms of stress level. You find that 100% of the graduate students in your study are men and 100% of your undergraduate students are women. What effect does knowing the gender distribution have on your research conclusions?
You may need to use the appropriate technology to answer this question. During the first 13 weeks of the television season, the Saturday evening 8:00 p.m. to 9:00 p.m. audience proportions were recorded as ABC 31%, CBS 26%, NBC 27%, and independents 16%. A sample of 300 homes two weeks after a Saturday night schedule revision yielded the following viewing audience data: ABC 97 homes, CBS 68 homes, NBC 91 homes, and independents 44 homes. Test with a = 0.05 to determine whether the viewing audience proportions changed. State the null and alternative hypotheses. 0.31, PCBS = 0.26, PNBC = 0.27, PIND 0.27, PIND = 0.16. Ho: : The proportions are not pPABC Наi РАВС 3 0.31, РсвS 0.26, PNBC 0.16 0.27, 0.16 Но: РАВС 0.31, Рсвs 3D 0.26, Наi РАВС + 0.31, РсвS PNBC + 0.26, PNBC ± 0.27, , PIND + 0.16 Ho: PABC + 0.31, PCBS + 0.26, PNBC + 0.27, PIND + 0.16 0.26, PNBC 0.27, PIND = 0.16 %D На РАВС - 0.31, РсBs 0.26, PNBC 0.27, PIND 0.16 Нo: РАВС - 0.31, РсBS H: The proportions are not PABC 0.16. 0.31,…

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