![EP ELEMEN.STAT.-MYSTATLAB+ETEXT ACCESS](https://www.bartleby.com/isbn_cover_images/9780134683577/9780134683577_largeCoverImage.gif)
EP ELEMEN.STAT.-MYSTATLAB+ETEXT ACCESS
7th Edition
ISBN: 9780134683577
Author: Larson
Publisher: PEARSON CO
expand_more
expand_more
format_list_bulleted
Textbook Question
Chapter 1, Problem 1.3.20RE
In Exercises 21 and 22, two hundred students volunteer for an experiment to test the effects of sleep deprivation on memory recall. The students will be placed in one of five different treatment groups, including the control group.
22. Explain how you could design an experiment so that it uses a completely randomized design.
Expert Solution & Answer
![Check Mark](/static/check-mark.png)
Want to see the full answer?
Check out a sample textbook solution![Blurred answer](/static/blurred-answer.jpg)
Students have asked these similar questions
A 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…
A 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…
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…
Chapter 1 Solutions
EP ELEMEN.STAT.-MYSTATLAB+ETEXT ACCESS
Ch. 1.1 - In a survey of 1501 ninth to twelfth graders in...Ch. 1.1 - Determine whether each number describes a...Ch. 1.1 - A study of 1000 U.S. adults found that when they...Ch. 1.1 - How is a sample related to a population?Ch. 1.1 - Why is a sample used more often than a population?Ch. 1.1 - What is the difference between a parameter and a...Ch. 1.1 - What are the two main branches of statistics?Ch. 1.1 - True or False? In Exercises 510, determine whether...Ch. 1.1 - True or False? In Exercises 510, determine whether...Ch. 1.1 - True or False? In Exercises 510, determine whether...
Ch. 1.1 - True or False? In Exercises 510, determine whether...Ch. 1.1 - True or False? In Exercises 510, determine whether...Ch. 1.1 - True or False? In Exercises 510, determine whether...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Classifying a Data Set In Exercises 1120,...Ch. 1.1 - Graphical Analysis In Exercises 2124, use the Venn...Ch. 1.1 - Graphical Analysis In Exercises 2124, use the Venn...Ch. 1.1 - Graphical Analysis In Exercises 2124, use the Venn...Ch. 1.1 - Graphical Analysis In Exercises 2124, use the Venn...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Identifying Data Sets In Exercises 2534, identify...Ch. 1.1 - Distinguishing Between a Parameter and a Statistic...Ch. 1.1 - Distinguishing Between a Parameter and a Statistic...Ch. 1.1 - Distinguishing Between a Parameter and a Statistic...Ch. 1.1 - Distinguishing Between a Parameter and a Statistic...Ch. 1.1 - Distinguishing Between a Parameter and a Statistic...Ch. 1.1 - Distinguishing Between a Parameter and a Statistic...Ch. 1.1 - Distinguishing Between a Parameter and a Statistic...Ch. 1.1 - Distinguishing Between a Parameter and a Statistic...Ch. 1.1 - Descriptive and Inferential Statistics Which part...Ch. 1.1 - Descriptive and Inferential Statistics Which part...Ch. 1.1 - Exercise and Cognitive Ability A study of 876...Ch. 1.1 - Increase in Obesity Rates A study shows that the...Ch. 1.1 - Sleep and Student Achievement A study shows the...Ch. 1.2 - The populations of several U.S. cities are shown...Ch. 1.2 - For each data set. determine whether the data are...Ch. 1.2 - For each data set, determine whether the data are...Ch. 1.2 - Name each level of measurement for which data can...Ch. 1.2 - Name each level of measurement for which data can...Ch. 1.2 - True or False? In Exercises 36, determine whether...Ch. 1.2 - True or False? In Exercises 36, determine whether...Ch. 1.2 - True or False? In Exercises 36, determine whether...Ch. 1.2 - True or False? In Exercises 36, determine whether...Ch. 1.2 - Classifying Data by Type In Exercises 714,...Ch. 1.2 - Classifying Data by Type In Exercises 714,...Ch. 1.2 - Classifying Data by Type In Exercises 714,...Ch. 1.2 - Classifying Data by Type In Exercises 714,...Ch. 1.2 - Classifying Data by Type In Exercises 714,...Ch. 1.2 - Classifying Data by Type In Exercises 714,...Ch. 1.2 - Classifying Data by Type In Exercises 714,...Ch. 1.2 - Classifying Data by Type In Exercises 714,...Ch. 1.2 - Classifying Data By Level In Exercises 1520,...Ch. 1.2 - Classifying Data By Level In Exercises 1520,...Ch. 1.2 - Classifying Data By Level In Exercises 1520,...Ch. 1.2 - Classifying Data By Level In Exercises 1520,...Ch. 1.2 - Classifying Data By Level In Exercises 1520,...Ch. 1.2 - Classifying Data By Level In Exercises 1520,...Ch. 1.2 - Graphical Analysis In Exercises 2124, determine...Ch. 1.2 - Graphical Analysis In Exercises 2124, determine...Ch. 1.2 - Graphical Analysis In Exercises 2124, determine...Ch. 1.2 - Graphical Analysis In Exercises 2124, determine...Ch. 1.2 - The items below appear on a physician's intake...Ch. 1.2 - Graphical Analysis In Exercises 2124, determine...Ch. 1.2 - Classifying Data by Type and Level In Exercises...Ch. 1.2 - Classifying Data by Type and Level In Exercises...Ch. 1.2 - Classifying Data by Type and Level In Exercises...Ch. 1.2 - Classifying Data by Type and Level In Exercises...Ch. 1.2 - Classifying Data by Type and Level In Exercises...Ch. 1.2 - Classifying Data by Type and Level In Exercises...Ch. 1.2 - Extending Concepts 33. Writing What is an inherent...Ch. 1.2 - Describe two examples of data sets for each of the...Ch. 1.2 - For more than 50 years. The Harris Poll has...Ch. 1.2 - Reputations of 10 Companies in the U.S. (Source:...Ch. 1.2 - Reputations of 10 Companies in the U.S. (Source:...Ch. 1.2 - Reputations of 10 Companies in the U.S. (Source:...Ch. 1.2 - Reputations of 10 Companies in the U.S. (Source:...Ch. 1.2 - For more than 50 years. The Harris Poll has...Ch. 1.3 - The Pennsylvania Game Commission conducted a study...Ch. 1.3 - Prob. 2TYCh. 1.3 - A company employs 79 people. Choose a simple...Ch. 1.3 - You want to determine the opinions of students...Ch. 1.3 - What is the difference between an observational...Ch. 1.3 - What is the difference between a census and a...Ch. 1.3 - What is the difference between a random sample and...Ch. 1.3 - What is replication in an experiment? Why is...Ch. 1.3 - True or False? In Exercises 510, determine whether...Ch. 1.3 - True or False? In Exercises 510, determine whether...Ch. 1.3 - True or False? In Exercises 510, determine whether...Ch. 1.3 - True or False? In Exercises 510, determine whether...Ch. 1.3 - True or False? In Exercises 510, determine whether...Ch. 1.3 - True or False? In Exercises 510, determine whether...Ch. 1.3 - Distinguishing Between an Observational Study and...Ch. 1.3 - Distinguishing Between an Observational Study and...Ch. 1.3 - Distinguishing Between an Observational Study and...Ch. 1.3 - Distinguishing Between an Observational Study and...Ch. 1.3 - Random Number Table Use the sixth row of Table 1...Ch. 1.3 - Random Number Table Use the tenth row of Table 1...Ch. 1.3 - Random Numbers In Exercises 17 and 18, use...Ch. 1.3 - Random Numbers In Exercises 17 and 18, use...Ch. 1.3 - Allergy Drug A pharmaceutical company wants to...Ch. 1.3 - Dietary Supplement Researchers in Germany tested...Ch. 1.3 - Sleep Deprivation A researcher wants to study the...Ch. 1.3 - Using a Simple Random Sample Volunteers for an...Ch. 1.3 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1.3 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1.3 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1.3 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1.3 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1.3 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1.3 - Choosing Between a Census and a Sampling In...Ch. 1.3 - Choosing Between a Census and a Sampling In...Ch. 1.3 - Recognizing a Biased Question In Exercises 3134,...Ch. 1.3 - Recognizing a Biased Question In Exercises 3134,...Ch. 1.3 - Recognizing a Biased Question In Exercises 3134,...Ch. 1.3 - Recognizing a Biased Question In Exercises 3134,...Ch. 1.3 - Open and Closed Questions Two types of survey...Ch. 1.3 - Natural Experiments Observational studies are...Ch. 1.3 - Prob. 1ACh. 1.3 - In Exercises 14, identify the population and the...Ch. 1 - In Exercises 14, identify the population and the...Ch. 1 - In Exercises 14, identify the population and the...Ch. 1 - In Exercises 58, determine whether the number...Ch. 1 - In Exercises 58, determine whether the number...Ch. 1 - In Exercises 58, determine whether the number...Ch. 1 - In Exercises 58, determine whether the number...Ch. 1 - Which part of the survey described in Exercise 3...Ch. 1 - Which part of the survey described in Exercise 4...Ch. 1 - In Exercises 1114, determine whether the data are...Ch. 1 - In Exercises 1114, determine whether the data are...Ch. 1 - In Exercises 1114, determine whether the data are...Ch. 1 - In Exercises 1114, determine whether the data are...Ch. 1 - In Exercises 1518, determine the level of...Ch. 1 - In Exercises 1518, determine the level of...Ch. 1 - In Exercises 1518, determine the level of...Ch. 1 - In Exercises 1518, determine the level of...Ch. 1 - In Exercises 19 and 20, determine whether the...Ch. 1 - In Exercises 19 and 20, determine whether the...Ch. 1 - In Exercises 21 and 22, two hundred students...Ch. 1 - In Exercises 21 and 22, two hundred students...Ch. 1 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1 - Identifying Sampling Techniques In Exercises 2328,...Ch. 1 - You want to know the favorite spring break...Ch. 1 - A study of the dietary habits of 359,264 Korean...Ch. 1 - Determine whether each number describes a...Ch. 1 - Determine whether the data are qualitative or...Ch. 1 - Determine the level of measurement of the data...Ch. 1 - Determine whether the study is an observational...Ch. 1 - An experiment is performed to test the effects of...Ch. 1 - Identify the sampling technique used in each...Ch. 1 - Which technique used in Exercise 7 could lead to a...Ch. 1 - Determine whether you would take a census or use a...Ch. 1 - Determine whether each number describes a...Ch. 1 - Specify the minimum, maximum, and number of...Ch. 1 - Use the applet to repeat Example 3 on page 21....Ch. 1 - Identify the sampling technique used, and discuss...Ch. 1 - Determine whether the data are qualitative or...Ch. 1 - Determine whether the survey question is biased....Ch. 1 - Researchers surveyed 19,183 U.S. physicians,...Ch. 1 - When do you think smartphone payments will replace...Ch. 1 - Data Classification (a) What type of data do you...Ch. 1 - How They Did It When The Harris Poll did a similar...Ch. 1 - The SEC (Securities and Exchange Commission) is...Ch. 1 - A quality control department is testing 25...Ch. 1 - Consider the population of ten digits: 0, 1, 2, 3,...Ch. 1 - Consider the population of 41 whole numbers from 0...Ch. 1 - Use random numbers to simulate rolling a six-sided...Ch. 1 - Prob. 6TCh. 1 - Use random numbers to simulate tossing a coin 100...Ch. 1 - You tossed a coin 100 times and got 77 heads and...Ch. 1 - A political analyst would like to survey a sample...
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
- What 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_forwardQuestion 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_forwardA 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_forward
- Stem1: 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_forwardA poll before the elections showed that in a given sample 79% of people vote for candidate C. How many people should be interviewed so that the pollsters can be 99% sure that from 75% to 83% of the population will vote for candidate C? Round your answer to the whole number.arrow_forward
- Suppose a random sample of 459 married couples found that 307 had two or more personality preferences in common. In another random sample of 471 married couples, it was found that only 31 had no preferences in common. Let p1 be the population proportion of all married couples who have two or more personality preferences in common. Let p2 be the population proportion of all married couples who have no personality preferences in common. Find a95% confidence interval for . Round your answer to three decimal places.arrow_forwardA history teacher interviewed a random sample of 80 students about their preferences in learning activities outside of school and whether they are considering watching a historical movie at the cinema. 69 answered that they would like to go to the cinema. Let p represent the proportion of students who want to watch a historical movie. Determine the maximal margin of error. Use α = 0.05. Round your answer to three decimal places. arrow_forwardA random sample of medical files is used to estimate the proportion p of all people who have blood type B. If you have no preliminary estimate for p, how many medical files should you include in a random sample in order to be 99% sure that the point estimate will be within a distance of 0.07 from p? Round your answer to the next higher whole number.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- College Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage LearningHolt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
![Text book image](https://www.bartleby.com/isbn_cover_images/9781938168383/9781938168383_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781305652231/9781305652231_smallCoverImage.gif)
College Algebra (MindTap Course List)
Algebra
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:Cengage Learning
![Text book image](https://www.bartleby.com/isbn_cover_images/9780547587776/9780547587776_smallCoverImage.jpg)
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
![Text book image](https://www.bartleby.com/isbn_cover_images/9780079039897/9780079039897_smallCoverImage.jpg)
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
![Text book image](https://www.bartleby.com/isbn_cover_images/9781680331141/9781680331141_smallCoverImage.jpg)
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Introduction to experimental design and analysis of variance (ANOVA); Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=vSFo1MwLoxU;License: Standard YouTube License, CC-BY