Understanding Basic Statistics
8th Edition
ISBN: 9781337558075
Author: Charles Henry Brase, Corrinne Pellillo Brase
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Textbook Question
Chapter 2.1, Problem 24P
Dotplot: Sled Dog Racing Make a dotplot for the data in Problem 15 regarding the finish time (number of hours) for the Iditarod Sled Dog Race. Compare the dotplot to the histogram of Problem 15.
Expert Solution & Answer
Trending nowThis is a popular solution!
Students have asked these similar questions
Question 5: A college is interested in if the year of receiving high-level education (college and above) influences students’ salaries when they join the working field. The college randomly selected 4 students who recently received a full- time work offer and collected their year of receiving high-level education and salary per week. The raw data is:
Participant
Year of high-level education
Salary per week
Participant 1
4
1150
Participant 2
5
1300
Participant 3
7
1600
Participant 4
2
750
Plot the scatterplot and label the participants.
Calculate the correlation coefficient between the year of high-level education and salary per week.
Calculate the regression equation using the year of receiving high-level education to predict the salary per week.
If a student graduate from college and graduate school in a total of 6 years, what is this student’s predicted salary per week?
The problem is on the first image attached, and the second image is the data to go with it.
Find question 3 using the data in question 1.
Chapter 2 Solutions
Understanding Basic Statistics
Ch. 2.1 - Statistical Literacy What is the difference...Ch. 2.1 - Statistical Literacy A data set has values ranging...Ch. 2.1 - Statistical Literacy A data set has values ranging...Ch. 2.1 - Statistical Literacy A data set has value ranging...Ch. 2.1 - Basic Computation: Class Limits A data set with...Ch. 2.1 - Basic Computation: Class limits A data set with...Ch. 2.1 - Interpretation You are manager of a specialty...Ch. 2.1 - Critical Thinking A web site rated 100 colleges...Ch. 2.1 - Critical Thinking Look at the histogram in Figure...Ch. 2.1 - Critical Thinking The following data represent...
Ch. 2.1 - Interpretation Histograms of random sample data...Ch. 2.1 - Interpretation The following histograms are based...Ch. 2.1 - Interpretation The ogives shown are based on U.S...Ch. 2.1 - Critical Thinking The following ogives come from...Ch. 2.1 - For Problems 15-20. use the specified number of...Ch. 2.1 - For Problems 15-20, use the specified number of...Ch. 2.1 - For Problems 15-20, use the specified number of...Ch. 2.1 - For Problems 15-20, use the specified number of...Ch. 2.1 - For Problems 15-20, use the specified number of...Ch. 2.1 - For Problems 15-20. use the specified number of...Ch. 2.1 - Expand Your knowledge: Decimal Data The fallowing...Ch. 2.1 - Decimal Data: Batting Averages The following data...Ch. 2.1 - Expand Your Knowledge: Dotplot another display...Ch. 2.1 - 24. Dotplot: Sled Dog Racing Make a dotplot for...Ch. 2.1 - Prob. 25PCh. 2.2 - 1. Interpretation Consider graph (a) of Reasons...Ch. 2.2 - Interpretation Look at graph (b) of Reasons People...Ch. 2.2 - Critical Thinking A personnel office is gathering...Ch. 2.2 - Critical Thinking Your friend is thinking about...Ch. 2.2 - Education: Does College Pay Off? It is costly in...Ch. 2.2 - Interpretation Consider the two graphs depicting...Ch. 2.2 - Commercial Fishing: Gulf of Alaska It's not an...Ch. 2.2 - Archaeology: Ireland Commercial dredging...Ch. 2.2 - Lifestyle: Hide the Mess! A survey of 1000 adults...Ch. 2.2 - Education: College Professors' Time How do college...Ch. 2.2 - FBI Report: Hawaii In the Aloha state, you are...Ch. 2.2 - Driving: Bad Habits Driving would be more pleasant...Ch. 2.2 - 13Ecology: Lakes Pyramid Lake, Nevada, is...Ch. 2.2 - Vital Statistics: Height How dies average height...Ch. 2.2 - Expand Your Knowledge Donut Pie Charts The book...Ch. 2.2 - Technology: Cars The following cluster bar graph...Ch. 2.3 - Cowboys: Longevity How long did real cowboys live?...Ch. 2.3 - Ecology: Habitat Wetlands offer a diversity of...Ch. 2.3 - Health Care: Hospitals The American Medical...Ch. 2.3 - Health Care: Hospitals Using the number of...Ch. 2.3 - Expand Your knowledge: Split Stem The Boston...Ch. 2.3 - Split Stem: Golf The U.S. Open Golf Tournament was...Ch. 2.3 - Are cigarettes bad for people? Cigarette smoking...Ch. 2.3 - Are cigarettes bad for people? Cigarette smoking...Ch. 2.3 - Are cigarettes bad for people? Cigarette smoking...Ch. 2.3 - Expand Your Knowledge: Back-to-Back Stem Plot In...Ch. 2 - Terminology Consider the following graph types:...Ch. 2 - Terminology Whichtype(s) of data can be shown in a...Ch. 2 - Terminology Which type(s) of data can be shown in...Ch. 2 - Terminology Which graphical display shows each...Ch. 2 - Terminology If a histogram is skewed left, more of...Ch. 2 - Terminology How are data plotted in a time-series...Ch. 2 - Critical Thinking Consider these types of graphs:...Ch. 2 - Critical Thinking A consumer interest group is...Ch. 2 - Critical Thinking Describe how data outliers might...Ch. 2 - Expand Your Knowledge How are dotplots and...Ch. 2 - Focus Problem: Fuel Economy Solve the focus...Ch. 2 - Criminal Justice: Prisoners The time plot in...Ch. 2 - IRS: Tax Returns Almost everyone files (or will...Ch. 2 - Law Enforcement: DUI Driving under the influence...Ch. 2 - Agriculture: Apple Trees The following data...Ch. 2 - Law: Corporation Lawsuits Many people say the...Ch. 2 - Archaeology: Tree-King DataThe Sand Canyon...Ch. 2 - Interpretation A Harm Poll surveyed 2085 U.S....Ch. 2 - Examine Figure 2-20, Everyone Agrees: Slobs Make...Ch. 2 - Examine Figure 2-21, Global Teen Worries. How many...Ch. 2 - In your own words, explain the differences among...Ch. 2 - What do we mean when we say a histogram is skewed...Ch. 2 - Discuss the statement that stem-and-leaf displays...Ch. 2 - The following tables show the first-round winning...Ch. 2 - The following tables show the first-round winning...Ch. 2 - The Following tables show the first-round winning...
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
- QUESTION 13 For Problem #13 through #16, consider the following context. The management at Revelation Rehabilitation, a nursing and physical therapy care facility, are exploring the relationship between the numbers of hours each clinical staff member undergoes professional development on safe patient care, represented by the independent variable x, and the number of patient-related injuries that staff member experiences annually, represented by the dependent variable y. The data is as follows: x y 20 16 30 20 25 15 30 18 20 15 30 21 25 12 30 20 20 15 30 20 Predict the number of patient-related injuries if a staff member receives 26 hours of professional development. [COMMENTS & HINTS: Round the answer to the nearest whole unit or patient.] QUESTION 14 For Problem #13 through #16, consider the following context. The management at Revelation Rehabilitation, a nursing and physical therapy care facility, are exploring the relationship between…arrow_forwardQuestion 9b . Describe the relationship displayed in the scatterplot (Using DUFS)arrow_forwardfirst picture is the given data for questions 21 and 22arrow_forward
- This is the data for the previous questionarrow_forwardProblem 3. The following cross-tabulation (based on GSS18SSDS-B dataset) examines the relationship between AGE (the independent variable) and whether or not one feels discriminated against because of age. We recorded age into four categories: 18-29, 30-39, 40-49, and 50-59. Respondents of all other ages were excluded from the analysis. Age 18-29 30-39 40-49 50-59 Total Respondent feels discriminated because of age Yes Count 26 14 4 19 63 Percent (%) 16.0 6.4 2.1 9.6 8.2 No Count 136 206 183 178 703 Percent (%) 84.0 93.6 97.9 90.4 91.8 Total Count 162 220 187 197 766 Percent (%) 100.0 100.0 100.0 100.0 100.0 What percentage of the sample did not feel they were subject to age discrimination? How many people between the ages of 30 and 39 reported feeling…arrow_forwardProblem 10.6. Does the rate of voter turnout vary significantly by the type of election? A random sample of voting precincts displays the following pattern of voter turnout by election type. Assess the results for significance To know which groups are different from one another, we need to examine the results from the post hoc test analysis. Not all of what you get needs to be examined. Discuss final results using APA format. In addition to referring to information from the previous two tables,arrow_forward
- Problem 1In a health survey of 1020 adults in the US, 44% said that they wash their hands after riding public transportation (based on data from KRC Research, http://www.krcresearch.com). What is the population of interest? What is the sample? Is the value 44% a parameter or statistic? What is the level of measurement of the value 44%? Are the numbers of subjects in such surveys discrete or continuous? Problem 2The Financial Times/Harris Poll is a monthly online poll of adults from six countries in Europe and the United States. A January poll included 1020 adults in the United States. One of the questions asked was, “How would you rate the federal bank in handling the credit problems in the financial markets?” Possible responses were Excellent, Good, Fair, Bad, and Terrible (Harris Interactive website, January 2008). What was the sample for this survey? Are the data qualitative or quantitative? Of the respondents in the United States, 10% said the Federal Bank is doing a good…arrow_forwardQuestion 2: A researcher is interested in the correlation between the height (in inches) and weight (in pounds) of males. The researcher measured the height and weight of four males. The measured values are Participant Height Weight Participant 1 70 160 Participant 2 69 164 Participant 3 61 134 Participant 4 66 155 Participant 5 71 170 Participant 6 65 158 Participant 7 67 160 Participant 8 73 180 Participant 9 67 165 Participant10 64 146 1) Plot the scatterplot to show the relationship between height and weight, label the value for each participant. 2) Base on the scatterplot, describe the relationship between height and weight (form, direction, strength, possible outlier)? 3) Calculate the correlation coefficients. Does it confirm your judgment in the previous question?arrow_forwardRefer the data in images Problem a)What is the appropriate test procedure to test for significant differences in mean white blood cell count between people who do and people who do not receive a bacterial culture?Problem b) Perform the procedure in Problem a using thecritical-value method.Problem c) What is the p-value corresponding to your answer toProblem b ?arrow_forward
- QUESTION 6 Describe the Keebler Brand distribution shape: The histogram is option A. Skeded right B. Symmetric C. Skewed left and A. Unimodal B. Bimodal C. Multimodal Question 7. Number of cholcate chips store Brand Grap Describe the store brand distribution shape: The histogram is option A. Skeded right B. Symmetric C. Skewed left and A. Unimodal B. Bimodal C. Multimodalarrow_forwardCreate a split stem-and-leaf plot for the variable Age. Use the data provided in Problem 1 – 5 to describe a“typical” female student in Negron’s Fall statistics classes.16 17 19 19 20 20 20 20 20 20 20 21 21 21 22 22 24 31 34 366. Unstack the data from the variables Cr. hours and Age into two columns labeled Full time and Part time.Calculate the median age of full time students. Calculate the average age of part time students.Cr. Hrs. 7 9 9 9 12 6 6 12 9 6 4 3 12 14 15 3 13 12 12 7arrow_forwardquestion 4 The performance of students at a local community was recorded and categorized based on student’sfaculty. The gathered data was then analyzed by a statistician and the results obtained using MINITAB are shown below: low Average High Total Science 12 30 52 94 (15.67) (29.24) (49.09) Humanities 14 20 30 ** (10.67) (19.91) (33.42) Law 4 6 12 22 (* ) (6.84) (11.49) Total 30 56 94 180 chi-sq = 0.858 + 0.020 + *** + 1.042 0.000 + 0.350 + 0.030 + 0.104 +…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
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
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY