Statistical Reasoning for Everyday Life - MyStatLab
5th Edition
ISBN: 9781323823781
Author: Bennett
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 7.2, Problem 8E
Does It Make Sense? For Exercises 5–8, determine whether the statement makes sense (or is clearly true) or does not make sense (or is clearly false). Explain clearly; not all of these statements have definitive answers, so your explanation is more important than your chosen answer.
- 8. Causation. The
correlation I found was so strong that a careful calculation showed it had less than a 1 in 100,000 probability of occurring by chance. Therefore, I can reasonably conclude that one variable is the cause of the other.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
30% of all college students major in STEM (Science, Technology, Engineering, and Math). If 48 college students are randomly selected, find the probability thata. Exactly 12 of them major in STEM. b. At most 17 of them major in STEM. c. At least 12 of them major in STEM. d. Between 9 and 13 (including 9 and 13) of them major in STEM.
7% of all Americans live in poverty. If 40 Americans are randomly selected, find the probability thata. Exactly 4 of them live in poverty. b. At most 1 of them live in poverty. c. At least 1 of them live in poverty. d. Between 2 and 9 (including 2 and 9) of them live in poverty.
48% of all violent felons in the prison system are repeat offenders. If 40 violent felons are randomly selected, find the probability that
a. Exactly 18 of them are repeat offenders. b. At most 18 of them are repeat offenders. c. At least 18 of them are repeat offenders. d. Between 17 and 21 (including 17 and 21) of them are repeat offenders.
Chapter 7 Solutions
Statistical Reasoning for Everyday Life - MyStatLab
Ch. 7.1 - Correlation. What is a correlation? Give three...Ch. 7.1 - Scatterplot. What is a scatterplot, and how is one...Ch. 7.1 - Types of Correlation. Define and distinguish...Ch. 7.1 - Correlation Coefficient. What does the correlation...Ch. 7.1 - Does It Make Sense? For Exercises 58, determine...Ch. 7.1 - Does It Make Sense? For Exercises 58, determine...Ch. 7.1 - Does It Make Sense? For Exercises 58, determine...Ch. 7.1 - Does It Make Sense? For Exercises 58, determine...Ch. 7.1 - Correlation. Exercises 916 list pairs of...Ch. 7.1 - Correlation. Exercises 916 list pairs of...
Ch. 7.1 - Correlation. Exercises 916 list pairs of...Ch. 7.1 - Correlation. Exercises 916 list pairs of...Ch. 7.1 - Correlation. Exercises 916 list pairs of...Ch. 7.1 - Correlation. Exercises 916 list pairs of...Ch. 7.1 - Correlation. Exercises 916 list pairs of...Ch. 7.1 - Correlation. Exercises 916 list pairs of...Ch. 7.1 - Crickets and Temperature. One classic example of a...Ch. 7.1 - Two-Day Forecast. Figure 7.8 shows a scatterplot...Ch. 7.1 - Properties of the Correlation Coefficient. For...Ch. 7.1 - Properties of the Correlation Coefficient. For...Ch. 7.1 - Properties of the Correlation Coefficient. For...Ch. 7.1 - Properties of the Correlation Coefficient. For...Ch. 7.1 - Scatterplot and Correlation. In Exercises 2330,...Ch. 7.1 - Scatterplot and Correlation. In Exercises 2330,...Ch. 7.1 - Scatterplot and Correlation. In Exercises 2330,...Ch. 7.1 - Prob. 26ECh. 7.1 - Scatterplot and Correlation. In Exercises 2330,...Ch. 7.1 - Scatterplot and Correlation. In Exercises 2330,...Ch. 7.1 - Scatterplot and Correlation. In Exercises 2330,...Ch. 7.1 - Scatterplot and Correlation. In Exercises 2330,...Ch. 7.1 - Your Own Positive Correlations. Give examples of...Ch. 7.1 - Your Own Negative Correlations. Give examples of...Ch. 7.2 - Outliers. Briefly explain how an outlier can make...Ch. 7.2 - Grouped Data. Briefly explain how data that...Ch. 7.2 - Explanations for Correlation. What are the three...Ch. 7.2 - Prob. 4ECh. 7.2 - Does It Make Sense? For Exercises 58, determine...Ch. 7.2 - Does It Make Sense? For Exercises 58, determine...Ch. 7.2 - Does It Make Sense? For Exercises 58, determine...Ch. 7.2 - Does It Make Sense? For Exercises 58, determine...Ch. 7.2 - Correlation and Causality. Exercises 916 present...Ch. 7.2 - Correlation and Causality. Exercises 916 present...Ch. 7.2 - Correlation and Causality. Exercises 916 present...Ch. 7.2 - Correlation and Causality. Exercises 916 present...Ch. 7.2 - Correlation and Causality. Exercises 916 present...Ch. 7.2 - Correlation and Causality. Exercises 916 present...Ch. 7.2 - Correlation and Causality. Exercises 916 present...Ch. 7.2 - Correlation and Causality. Exercises 916 present...Ch. 7.2 - Outlier Effects. Consider the scatterplot in...Ch. 7.2 - Outlier Effects. Consider the scatterplot in...Ch. 7.2 - Footprint and Height. The following table lists...Ch. 7.2 - January and July High Temperatures. The following...Ch. 7.2 - Birth and Death Rates. Figure 7.17 shows the birth...Ch. 7.2 - Penny Weight and Date. The scatterplot in Figure...Ch. 7.3 - Best-Fit Line. What is a best-fit line? How is a...Ch. 7.3 - Prob. 2ECh. 7.3 - Interpreting r2. What does the square of the...Ch. 7.3 - Prob. 4ECh. 7.3 - Prob. 5ECh. 7.3 - Does It Make Sense? For Exercises 58, determine...Ch. 7.3 - Does It Make Sense? For Exercises 58, determine...Ch. 7.3 - Does It Make Sense? For Exercises 58, determine...Ch. 7.3 - Best-Fit Lines. Exercises 916 refer to tables in...Ch. 7.3 - Best-Fit Lines. Exercises 916 refer to tables in...Ch. 7.3 - Prob. 11ECh. 7.3 - Best-Fit Lines. Exercises 916 refer to tables in...Ch. 7.3 - Best-Fit Lines. Exercises 916 refer to tables in...Ch. 7.3 - Best-Fit Lines. Exercises 916 refer to tables in...Ch. 7.3 - Prob. 15ECh. 7.3 - Prob. 16ECh. 7.4 - Correlation and Causality. What is the difference...Ch. 7.4 - Prob. 2ECh. 7.4 - Establishing Causality. Briefly state in your own...Ch. 7.4 - Confidence in Causality. Describe three levels of...Ch. 7.4 - Prob. 5ECh. 7.4 - Does It Make Sense? For Exercises 58, determine...Ch. 7.4 - Does It Make Sense? For Exercises 58, determine...Ch. 7.4 - Does It Make Sense? For Exercises 58, determine...Ch. 7.4 - Physical Models. For Exercises 912, determine...Ch. 7.4 - Physical Models. For Exercises 912, determine...Ch. 7.4 - Physical Models. For Exercises 912, determine...Ch. 7.4 - Physical Models. For Exercises 912, determine...Ch. 7.4 - Altitude and Health. When some people climb to...Ch. 7.4 - Smoking and Lung Cancer. There is a strong...Ch. 7.4 - Other Lung Cancer Causes. Several things besides...Ch. 7.4 - Longevity of Orchestra Conductors. A famous study...Ch. 7.4 - Older Moms. A study reported in Nature claims that...Ch. 7.4 - High-Voltage Power Lines. Suppose that people...Ch. 7.4 - Gun Control. Those who favor gun control often...Ch. 7.4 - Vasectomies and Prostate Cancer. The article Does...Ch. 7 - Pizza and the Subway. For Exercises 16, refer to...Ch. 7 - Pizza and the Subway. For Exercises 16, refer to...Ch. 7 - Pizza and the Subway. For Exercises 16, refer to...Ch. 7 - Pizza and the Subway. For Exercises 16, refer to...Ch. 7 - Pizza and the Subway. For Exercises 16, refer to...Ch. 7 - Pizza and the Subway. For Exercises 16, refer to...Ch. 7 - For 10 pairs of sample data values, the...Ch. 7 - In a study involving randomly selected subjects,...Ch. 7 - A researcher collects paired sample data values...Ch. 7 - Estimate the value of the linear correlation...Ch. 7 - Fill in the blanks: Every possible correlation...Ch. 7 - Which of the following are likely to have a...Ch. 7 - For a collection of 50 pairs of sample data...Ch. 7 - Estimate the correlation coefficient for the data...Ch. 7 - Refer again to the scatterplot in Figure 7.24....Ch. 7 - Fill in the blank: If r = 0.900, then _____ % of...Ch. 7 - In Exercises 710, determine whether the given...Ch. 7 - Prob. 8CQCh. 7 - Prob. 9CQCh. 7 - Prob. 10CQ
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
- Consider an MA(6) model with θ1 = 0.5, θ2 = −25, θ3 = 0.125, θ4 = −0.0625, θ5 = 0.03125, and θ6 = −0.015625. Find a much simpler model that has nearly the same ψ-weights.arrow_forwardLet {Yt} be an AR(2) process of the special form Yt = φ2Yt − 2 + et. Use first principles to find the range of values of φ2 for which the process is stationary.arrow_forwardDescribe the important characteristics of the autocorrelation function for the following models: (a) MA(1), (b) MA(2), (c) AR(1), (d) AR(2), and (e) ARMA(1,1).arrow_forward
- « CENGAGE MINDTAP Quiz: Chapter 38 Assignment: Quiz: Chapter 38 ips Questions ra1kw08h_ch38.15m 13. 14. 15. O Which sentence has modifiers in the correct place? O a. When called, she for a medical emergency responds quickly. b. Without giving away too much of the plot, Helena described the heroine's actions in the film. O c. Nearly the snakebite victim died before the proper antitoxin was injected. . O O 16 16. O 17. 18. O 19. O 20 20. 21 21. 22. 22 DS 23. 23 24. 25. O O Oarrow_forwardQuestions ra1kw08h_ch36.14m 12. 13. 14. 15. 16. Ӧ 17. 18. 19. OS 20. Two separate sentences need Oa. two separate subjects. Ob. two dependent clauses. c. one shared subject.arrow_forwardCustomers experiencing technical difficulty with their Internet cable service may call an 800 number for technical support. It takes the technician between 30 seconds and 11 minutes to resolve the problem. The distribution of this support time follows the uniform distribution. Required: a. What are the values for a and b in minutes? Note: Do not round your intermediate calculations. Round your answers to 1 decimal place. b-1. What is the mean time to resolve the problem? b-2. What is the standard deviation of the time? c. What percent of the problems take more than 5 minutes to resolve? d. Suppose we wish to find the middle 50% of the problem-solving times. What are the end points of these two times?arrow_forward
- Exercise 6-6 (Algo) (LO6-3) The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall semester on the basis of past experience. Admissions Probability 1,100 0.5 1,400 0.4 1,300 0.1 Click here for the Excel Data File Required: What is the expected number of admissions for the fall semester? Compute the variance and the standard deviation of the number of admissions. Note: Round your standard deviation to 2 decimal places.arrow_forward1. Find the mean of the x-values (x-bar) and the mean of the y-values (y-bar) and write/label each here: 2. Label the second row in the table using proper notation; then, complete the table. In the fifth and sixth columns, show the 'products' of what you're multiplying, as well as the answers. X y x minus x-bar y minus y-bar (x minus x-bar)(y minus y-bar) (x minus x-bar)^2 xy 16 20 34 4-2 5 2 3. Write the sums that represents Sxx and Sxy in the table, at the bottom of their respective columns. 4. Find the slope of the Regression line: bi = (simplify your answer) 5. Find the y-intercept of the Regression line, and then write the equation of the Regression line. Show your work. Then, BOX your final answer. Express your line as "y-hat equals...arrow_forwardApply STATA commands & submit the output for each question only when indicated below i. Generate the log of birthweight and family income of children. Name these new variables Ibwght & Ifaminc. Include the output of this code. ii. Apply the command sum with the detail option to the variable faminc. Note: you should find the 25th percentile value, the 50th percentile and the 75th percentile value of faminc from the output - you will need it to answer the next question Include the output of this code. iii. iv. Use the output from part ii of this question to Generate a variable called "high_faminc" that takes a value 1 if faminc is less than or equal to the 25th percentile, it takes the value 2 if faminc is greater than 25th percentile but less than or equal to the 50th percentile, it takes the value 3 if faminc is greater than 50th percentile but less than or equal to the 75th percentile, it takes the value 4 if faminc is greater than the 75th percentile. Include the outcome of this code…arrow_forward
- solve this on paperarrow_forwardApply STATA commands & submit the output for each question only when indicated below i. Apply the command egen to create a variable called "wyd" which is the rowtotal function on variables bwght & faminc. ii. Apply the list command for the first 10 observations to show that the code in part i worked. Include the outcome of this code iii. Apply the egen command to create a new variable called "bwghtsum" using the sum function on variable bwght by the variable high_faminc (Note: need to apply the bysort' statement) iv. Apply the "by high_faminc" statement to find the V. descriptive statistics of bwght and bwghtsum Include the output of this code. Why is there a difference between the standard deviations of bwght and bwghtsum from part iv of this question?arrow_forwardAccording to a health information website, the distribution of adults’ diastolic blood pressure (in millimeters of mercury, mmHg) can be modeled by a normal distribution with mean 70 mmHg and standard deviation 20 mmHg. b. Above what diastolic pressure would classify someone in the highest 1% of blood pressures? Show all calculations used.arrow_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
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Statistics 4.1 Point Estimators; Author: Dr. Jack L. Jackson II;https://www.youtube.com/watch?v=2MrI0J8XCEE;License: Standard YouTube License, CC-BY
Statistics 101: Point Estimators; Author: Brandon Foltz;https://www.youtube.com/watch?v=4v41z3HwLaM;License: Standard YouTube License, CC-BY
Central limit theorem; Author: 365 Data Science;https://www.youtube.com/watch?v=b5xQmk9veZ4;License: Standard YouTube License, CC-BY
Point Estimate Definition & Example; Author: Prof. Essa;https://www.youtube.com/watch?v=OTVwtvQmSn0;License: Standard Youtube License
Point Estimation; Author: Vamsidhar Ambatipudi;https://www.youtube.com/watch?v=flqhlM2bZWc;License: Standard Youtube License