An Internet service provider is interested in testing to see if there is a difference in the mean weekly connect time for users who come into the service through a dial-up line, DSL, or cable Internet. To test this, theISP has selected random samples from each category of user and recorded the connect time during a week period. The following data were collected.Click the icon to view the ISP data.Assuming that the test is to be conducted at a 0.01 level of significance, what would the critical value be for this test?ISP dataDial Up19.217.717.218.926.922.631.2DSL40.64041.530.546.8Cable39.542.34745.441.143.239.941.949.3X

There is no evidence to conclude that there is a significant difference in the mean weekly connect…

Answered: An Internet service provider is…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 706.3. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 45 high-income individuals and found the sample mean credit score to be 725.6 with a standard deviation of 81.6. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the x = 0.05 level of significance. State the null and alternative hypotheses. Ho: μ H₁:μ (Type integers or decimals. Do not round.)
An adventure company runs two obstacle courses, Fundash and Coolsprint. The designer of the courses suspects that the mean completion time of Fundash is not equal to the mean completion time of Coolsprint. To test this, she selects 280 Fundash runners and 225 Coolsprint runners. (Consider these as random samples of the Fundash and Coolspring runners.) The 280 Fundash runners complete the course with a mean time of 71.8 minutes and a standard deviation of 2.8 minutes. The 225 Coolsprint runners complete the course with a mean time of 71.2 minutes and a standard deviation of 2.7 minutes. Assume that the population standard deviations of the completion times can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the mean completion time, H₁, of Fundash is not equal to the mean completion time, H2, of Coolsprint? Perform a two-tailed test.…
A store wants to determine whether product location has an effect on the sales of a toy. A random sample of 18 stores is selected, with six stores randomly assigned to each of three aisle locations. The sales volume at the end of a trial period is shown in the accompanying table. At the 0.01 level of significance, is there evidence of a significant difference between the median sales of the various aisle locations? LOADING... Click the icon to view the table of sales data. LOADING... Click the icon to view the critical values of χ2 table. Let M1, M2 and M3 be the median sales for aisle locations of front, middle and rear, respectively. Determine the hypotheses. Choose the correct answer below. A. H0: M1=M2 or M2=M3 H1: Not all Mj are equal (j=1, 2, 3) B. H0: Not all Mj are equal (j=1, 2, 3) H1: M1=M2=M3 C. H0: M1=M2=M3 H1: Not all Mj are equal (j=1, 2, 3) D. H0: M1=M2=M3 H1: M1≠M2 or M2≠M3 Find the…
The site traffic for a business's website was monitored for 10 days, showing daily traffic of 14,782; 14,801; 15,264; 15,907; 14,794; 15,079; 15,439; 15,464; 15,580; 14,774. Calculate the mean of the dataset.
A study from 2014 found that adults in the US spend an average of 11 hours per day watching, reading, listening to or simply interacting with media. Researchers at UCLA suspect students spend less time engaging media. They grouped UCLA students by class section, randomly selected 20 class sections, and administered a survey to each student in those randomly selected class sections. The following data represents the mean time (in hours) per day spent engaging media for each of the randomly selected classes: 9.5 11.5 6.0 7.5 8 9.5 10.5 11 12 8.2 5 9.5 8.2 9.3 10.8 11 13 8.6 9.5 10.5 What would be the point calculated estimate for the population mean (i.e., calculate the sample mean) "by hand" i.e. showing all symbols, formulas, and details in the calculation.
Amanda owns and manages a small business, selling food via carts to people in the business district of her city. She provides incentives for the salespeople operating the food carts. This year, she plans to offer monetary bonuses to her salespeople based on their individual mean daily sales. Her first task is to see if there is a significant difference in the mean daily sales among the different salespeople. She chooses a "sample" of days for each salesperson and records the sales for each day. She then runs a one-way, independent-samples ANOVA test to determine whether or not she can conclude that at least one salesperson's performances is significantly different from the others. (Otherwise, she'll split the bonuses evenly among all the salespeople.) In her ANOVA, the "groups" are the different salespeople, and the variable of interest is the daily sales amount, in dollars. (a) Below is an ANOVA table summarizing Amanda's ANOVA. Fill in the missing cell of the table. (Round your…
A biomedical manufacturing process has only a 12.5% chance of producing a commercially successful result. The mean number of processes to be performed before a commercially successful one is
Records from the Washington Department of Licensing show that 47 former SFCC business students have incorporated their own businesses in the last five years. Eight of these students are selected at random and contacted. Each is asked how many people are employed by their corporation. The responses are: 7, 12, 13, 17, 10, 5, 10, and 6 employees. What is your best estimate of the mean number of employees for all 47 corporations?
The Economist collects data each year on the price of a Big Mac in various countries around the world. The price of a Big Mac for a sample of McDonalds restaurants in Europe in May 2009 resulted in the following Big Mac prices (after conversion to U.S. dollars):3.80 5.89 4.92 3.88 2.65 5.57 6.39 3.24 The mean price of a Big Mac in the U.S. in May 2009 was $3.57. For purposes of this exercise, assume it is reasonable to regard the sample as representative of European McDonalds restaurants. Does the sample provide convincing evidence that the mean May 2009 price of a Big Mac in Europe is greater than the reported U.S. price? Test the relevant hypotheses using a = .05. Assume a normal distribution of the data. s= Ho: 4 (Put in the correct symbol and value) H: uSelect an answer V a = P-value = Based on the above we choose to Select an answer
Each year, marketing and information firm J.D. Power and Associates surveys new car owners 90 days after they have purchased their cars. The data collected are used to rate auto brands (Toyota, Ford, and others) on initial quality and initial customer satisfaction. USA Today reported both the number of manufacturing defects per 100 vehicles and a satisfaction score for all 33 brands sold in the United States.† A research group decides to compare the mean number of defects for 2 specific models of cars, A and B, made this year by taking random samples of 100 cars of each model. (a) After collecting the data, the research group calculates a 95% confidence interval to estimate the difference in population means. In this case, what is the population? all cars for models A and B that were produced this yearthe defects all cars made this yearthe 100 cars from each model (b) Suppose the calculated confidence interval is (84, 92) number of defects. What is the value of the point…
A manager wishes to determine whether the mean times required to complete a certain project differ for the three levels of employee training. He randomly selected 8 employees with each of the three levels of training (beginner, intermediate, and advanced). Does the data provide sufficient evidence to indicate that the mean times required to complete a certain task differ based on training? Beginner: 10.5,11.0,15.5,21.5,32.0,12.0,22.5,20.0 Intermediate: 6.5,10.5,11.0,7.5,18.0,7.0,14.5,13.5 Advanced: 3.5,7.5,10.25,6.25,4.0,5.75,2.5,3.5 Beginner Mean: 19.38 Intermediate Mean: 11.06 Advanced mean: 5.41 Grand Mean: 11.95 Dependent variable: time in hours to complete the project (continuous DV) Independent variable: level of training (categorical: beginner, intermediate, advanced) Please show work and write using proper statistical notation What are the null and alternative hypotheses for this one-way ANOVA? Using a one-way ANOVA, is there a significant difference among the levels of…
A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. ACcording to a survey, the mean credit score is 702.6. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 36 high-income individuals and found the sample mean credit score to be 713.5 with a standard deviation of 83.3. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the a = 0.05 level of significance. State the null and alternative hypotheses. Ho: H H: p (Type integers or decimals. Do not round.) Identify the t-statistic. to = (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) Make a conclusion regarding the hypothesis. V the null hypothesis.…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS