Basic Business Statistics, Student Value Edition
14th Edition
ISBN: 9780134685113
Author: Mark L. Berenson, David M. Levine, David F. Stephan, Kathryn Szabat
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Videos
Textbook Question
Chapter 9, Problem 48PS
Patient waiting is a common phenomenon the doctor’s waiting room. One acceptable standard of practice states that waiting time for patients to be seen by the first provider in hospital outpatient and public health clinics should be less than 30 minutes. A study was conducted to assess patient waiting at a primary healthcare clinic.
Data were collected on a sample of 860 patients. In this sample, this
a. If you test the null hypothesis at the 0.01 level of significance, is there evidence that the population mean wait time is less than 30 minutes?
b. Interpret the meaning of the p-value in this problem.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
A study investigating a new test for diagnosing acute myocardial infarction (AMI) has just been initiated. The sensitivity of the test is estimated at 75% and the specificity at 80%. The study enrolls 600 patients, of whom 200 are confirmed AMI cases as determined by the diagnostic gold standard. How many false negatives are to be expected in the study? A. 50 B. 80 C. 120 D. 150 E. 400
choose the correct graph below
C4 Q6 V1: Randomly collected student data in the dataset STATISTICSSTUDENTSSURVEYFORR contains the columns FEDBEST (preferred Federal party (Conservative, Green, Liberals, or NDP) ) , UNDERGORGRAD (degree being sought (GraduateProfessional, Undergraduate) ) and GENDERIDENTITY (Female or Male or Other). Make a crosstab (contingency) table of the counts for each of the (UNDERGORGRAD, FEDBEST) pairs for ONLY the females. If we randomly select a female student who is pursuing a graduateprofessional degree, what is the probability that she prefers the Federal Liberals. Choose the most correct (closest) answer below.
Question 6 Answer
a.
0.128
b.
0.263
c.
0.744
d.
0.333
Chapter 9 Solutions
Basic Business Statistics, Student Value Edition
Ch. 9 - If you use a 0.005 level of significance in a...Ch. 9 - If you use a 0.05 level of significance in a...Ch. 9 - If you use a 0.10 level of significance in a...Ch. 9 - If you use a 0.01 level of significance in a...Ch. 9 - What is your decision in problem 9.4 if...Ch. 9 - What is the p -value if, in a two-tail hypothesis...Ch. 9 - In problem 9.6, what is your statistical decision...Ch. 9 - What is the p-value if, in a two -tail hypothesis...Ch. 9 - In the U.S. legal system, a defendant is presumed...Ch. 9 - Suppose the defendant in Problem 9.9 is presumed...
Ch. 9 - Many consumer groups feel that U.S. Food and Drug...Ch. 9 - As a result of complaints from both students and...Ch. 9 - Do business senior at your school prepare for...Ch. 9 - The quality- control manager at a light emitting...Ch. 9 - Suppose that in problem 9.14, the standard...Ch. 9 - A bottled water distributor wants to determine...Ch. 9 - Suppose that in Problem 9.16, the standard...Ch. 9 - If, In a sample of n=16 selected from a normal...Ch. 9 - In Problem 9.18, how many degrees of freedom does...Ch. 9 - In Problem 9.18, 9.19, what are the Critical...Ch. 9 - In, Problem 9.18, 9.19, and 9.20, what is your...Ch. 9 - If, in a sample of n=16 selected from a...Ch. 9 - If, in a sample of n=160 selected from a...Ch. 9 - You are the manager of a restaurant for a...Ch. 9 - A manufacturer of chocolate candies uses machines...Ch. 9 - A marketing researcher wants to estimate the mean...Ch. 9 - The U.S. Department of Transportation requires...Ch. 9 - The file FastFood contains the amount that a...Ch. 9 - An insurance company has the business objective of...Ch. 9 - The following data (in Drink) represent the amount...Ch. 9 - One of the major measures of the quality of...Ch. 9 - A manufacturing company produces steel housings...Ch. 9 - One operation of a steel mill is to cut pieces of...Ch. 9 - In Problem 3.69 on page 156, you were introduced...Ch. 9 - We Are Social and Hootsuite reported that the...Ch. 9 - In a one-tail hypothesis test where you reject H0...Ch. 9 - In Problem 9.36, what is your statistical decision...Ch. 9 - In a one-tail hypothesis test where you reject H0...Ch. 9 - In Problem 9.38, what is your statistical decision...Ch. 9 - In a one-tail hypothesis test where you reject H0...Ch. 9 - In Problem 9.40, what is your statistical decision...Ch. 9 - In a one-tail hypothesis test where you reject H0...Ch. 9 - In Problem 9.42, what is your statistical decision...Ch. 9 - In a one-tail hypothesis test where you reject H0...Ch. 9 - In Problem 9.44, what is your statistical decision...Ch. 9 - The Washington Metropolitan Area Transit Authority...Ch. 9 - CarMD reports that after two years of flat U.S....Ch. 9 - Patient waiting is a common phenomenon the...Ch. 9 - You are the manager of a restaurant that delivers...Ch. 9 - A Survey of nonprofit organization showed that...Ch. 9 - The population mean waiting time to check out of a...Ch. 9 - If, a random sample of 400 items, 88 are...Ch. 9 - In Problem 9.52, if the null hypothesis is that 20...Ch. 9 - In Problem 9.52 and 9.53, suppose you are testing...Ch. 9 - According to a recent National Association of...Ch. 9 - The worldwide market share for the Chrome web...Ch. 9 - One of the issues facing organizations Is...Ch. 9 - What are companies’ biggest obstacles to...Ch. 9 - A cellphone provider has the business objective of...Ch. 9 - Actuation Consulting conducted a global survey of...Ch. 9 - What is the difference between a null hypothesis,...Ch. 9 - What is the difference between a Type I error and...Ch. 9 - What is meant by the power of a test?Ch. 9 - What is the difference between a one -tail test...Ch. 9 - What is meant by a p-value?Ch. 9 - How can a confidence interval estimate for the...Ch. 9 - What is the six-step critical value approach to...Ch. 9 - What is the five-step p-value approach to...Ch. 9 - In hypothesis testing, the common level of...Ch. 9 - Financial institutions utilize prediction models...Ch. 9 - IAB conducted a study of 821 U.S. adults to...Ch. 9 - The owner of a speciality coffee shop wants to...Ch. 9 - An auditor for a government agency was assigned...Ch. 9 - A bank branch located in a commercial district of...Ch. 9 - Call centers today play an important role in...Ch. 9 - An important quality characteristic used by the...Ch. 9 - Studies conducted by the manufacturer of Boston...Ch. 9 - The manufacturer of Boston and Vermont asphalt...Ch. 9 - Referring to the results of problems 9.76 through...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- Install RStudio: Begin by installing RStudio on your computer. If you haven't done so, please refer to the official RStudio website for download and installation instructions. Watch the Tutorial Video: Watch the provided video tutorial that explains how to run RStudio. Pay close attention to the steps for opening and managing data files. https://www.youtube.com/watch?v=RhJp6vSZ7z0 Open RStudio: Once RStudio is installed, open the application. Load the Dataset: In RStudio, open a data file named "mtcars". To do this, type the command mtcars in the script editor and run the command. Attach the Data: Next, attach the dataset using the command attach(mtcars). Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following…arrow_forwardA marketing professor has surveyed the students at her university to better understand attitudes towards PPT usage for higher education. To be able to make inferences to the entire student body, the sample drawn needs to represent the university’s student population on all key characteristics. The table below shows the five key student demographic variables. The professor found the breakdown of the overall student body in the university’s fact book posted online. A non-parametric chi-square test was used to test the sample demographics against the population percentages shown in the table above. Review the output for the five chi-square tests on the following pages and answer the five questions: Based on the chi-square test, which sample variables adequately represent the university’s student population and which ones do not? Support your answer by providing the p-value of the chi-square test and explaining what it means. Using the results from Question 1, make recommendation for…arrow_forwardA marketing professor has surveyed the students at her university to better understand attitudes towards PPT usage for higher education. To be able to make inferences to the entire student body, the sample drawn needs to represent the university’s student population on all key characteristics. The table below shows the five key student demographic variables. The professor found the breakdown of the overall student body in the university’s fact book posted online. A non-parametric chi-square test was used to test the sample demographics against the population percentages shown in the table above. Review the output for the five chi-square tests on the following pages and answer the five questions: Based on the chi-square test, which sample variables adequately represent the university’s student population and which ones do not? Support your answer by providing the p-value of the chi-square test and explaining what it means. Using the results from Question 1, make recommendation for…arrow_forward
- A retail chain is interested in determining whether a digital video point-of-purchase (POP) display would stimulate higher sales for a brand advertised compared to the standard cardboard point-of-purchase display. To test this, a one-shot static group design experiment was conducted over a four-week period in 100 different stores. Fifty stores were randomly assigned to the control treatment (standard display) and the other 50 stores were randomly assigned to the experimental treatment (digital display). Compare the sales of the control group (standard POP) to the experimental group (digital POP). What were the average sales for the standard POP display (control group)? What were the sales for the digital display (experimental group)? What is the (mean) difference in sales between the experimental group and control group? List the null hypothesis being tested. Do you reject or retain the null hypothesis based on the results of the independent t-test? Was the difference between the…arrow_forwardWhat were the average sales for the four weeks prior to the experiment? What were the sales during the four weeks when the stores used the digital display? What is the mean difference in sales between the experimental and regular POP time periods? State the null hypothesis being tested by the paired sample t-test. Do you reject or retain the null hypothesis? At a 95% significance level, was the difference significant? Explain why or why not using the results from the paired sample t-test. Should the manager of the retail chain install new digital displays in each store? Justify your answer.arrow_forwardA retail chain is interested in determining whether a digital video point-of-purchase (POP) display would stimulate higher sales for a brand advertised compared to the standard cardboard point-of-purchase display. To test this, a one-shot static group design experiment was conducted over a four-week period in 100 different stores. Fifty stores were randomly assigned to the control treatment (standard display) and the other 50 stores were randomly assigned to the experimental treatment (digital display). Compare the sales of the control group (standard POP) to the experimental group (digital POP). What were the average sales for the standard POP display (control group)? What were the sales for the digital display (experimental group)? What is the (mean) difference in sales between the experimental group and control group? List the null hypothesis being tested. Do you reject or retain the null hypothesis based on the results of the independent t-test? Was the difference between the…arrow_forward
- Question 4 An article in Quality Progress (May 2011, pp. 42-48) describes the use of factorial experiments to improve a silver powder production process. This product is used in conductive pastes to manufacture a wide variety of products ranging from silicon wafers to elastic membrane switches. Powder density (g/cm²) and surface area (cm/g) are the two critical characteristics of this product. The experiments involved three factors: reaction temperature, ammonium percentage, stirring rate. Each of these factors had two levels, and the design was replicated twice. The design is shown in Table 3. A222222222222233 Stir Rate (RPM) Ammonium (%) Table 3: Silver Powder Experiment from Exercise 13.23 Temperature (°C) Density Surface Area 100 8 14.68 0.40 100 8 15.18 0.43 30 100 8 15.12 0.42 30 100 17.48 0.41 150 7.54 0.69 150 8 6.66 0.67 30 150 8 12.46 0.52 30 150 8 12.62 0.36 100 40 10.95 0.58 100 40 17.68 0.43 30 100 40 12.65 0.57 30 100 40 15.96 0.54 150 40 8.03 0.68 150 40 8.84 0.75 30 150…arrow_forward- + ++ Table 2: Crack Experiment for Exercise 2 A B C D Treatment Combination (1) Replicate I II 7.037 6.376 14.707 15.219 |++++ 1 བྱ॰༤༠སྦྱོ སྦྱོཋཏྟཱུ a b ab 11.635 12.089 17.273 17.815 с ас 10.403 10.151 4.368 4.098 bc abc 9.360 9.253 13.440 12.923 d 8.561 8.951 ad 16.867 17.052 bd 13.876 13.658 abd 19.824 19.639 cd 11.846 12.337 acd 6.125 5.904 bcd 11.190 10.935 abcd 15.653 15.053 Question 3 Continuation of Exercise 2. One of the variables in the experiment described in Exercise 2, heat treatment method (C), is a categorical variable. Assume that the remaining factors are continuous. (a) Write two regression models for predicting crack length, one for each level of the heat treatment method variable. What differences, if any, do you notice in these two equations? (b) Generate appropriate response surface contour plots for the two regression models in part (a). (c) What set of conditions would you recommend for the factors A, B, and D if you use heat treatment method C = +? (d) Repeat…arrow_forwardQuestion 2 A nickel-titanium alloy is used to make components for jet turbine aircraft engines. Cracking is a potentially serious problem in the final part because it can lead to nonrecoverable failure. A test is run at the parts producer to determine the effect of four factors on cracks. The four factors are: pouring temperature (A), titanium content (B), heat treatment method (C), amount of grain refiner used (D). Two replicates of a 24 design are run, and the length of crack (in mm x10-2) induced in a sample coupon subjected to a standard test is measured. The data are shown in Table 2. 1 (a) Estimate the factor effects. Which factor effects appear to be large? (b) Conduct an analysis of variance. Do any of the factors affect cracking? Use a = 0.05. (c) Write down a regression model that can be used to predict crack length as a function of the significant main effects and interactions you have identified in part (b). (d) Analyze the residuals from this experiment. (e) Is there an…arrow_forward
- A 24-1 design has been used to investigate the effect of four factors on the resistivity of a silicon wafer. The data from this experiment are shown in Table 4. Table 4: Resistivity Experiment for Exercise 5 Run A B с D Resistivity 1 23 2 3 4 5 6 7 8 9 10 11 12 I+I+I+I+Oooo 0 0 ||++TI++o000 33.2 4.6 31.2 9.6 40.6 162.4 39.4 158.6 63.4 62.6 58.7 0 0 60.9 3 (a) Estimate the factor effects. Plot the effect estimates on a normal probability scale. (b) Identify a tentative model for this process. Fit the model and test for curvature. (c) Plot the residuals from the model in part (b) versus the predicted resistivity. Is there any indication on this plot of model inadequacy? (d) Construct a normal probability plot of the residuals. Is there any reason to doubt the validity of the normality assumption?arrow_forwardStem1: 1,4 Stem 2: 2,4,8 Stem3: 2,4 Stem4: 0,1,6,8 Stem5: 0,1,2,3,9 Stem 6: 2,2 What’s the Min,Q1, Med,Q3,Max?arrow_forwardAre the t-statistics here greater than 1.96? What do you conclude? colgPA= 1.39+0.412 hsGPA (.33) (0.094) Find the P valuearrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Hypothesis Testing using Confidence Interval Approach; Author: BUM2413 Applied Statistics UMP;https://www.youtube.com/watch?v=Hq1l3e9pLyY;License: Standard YouTube License, CC-BY
Hypothesis Testing - Difference of Two Means - Student's -Distribution & Normal Distribution; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=UcZwyzwWU7o;License: Standard Youtube License