Introductory Statistics
3rd Edition
ISBN: 9780135188927
Author: Gould, Robert, Ryan, Colleen N. (colleen Nooter)
Publisher: Pearson,
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Chapter 1, Problem 53SE
Milk and Cartilage (Example 10) Cartilage is a smooth, rubberlike padding that protects the long bones in the body at the joints. A study by Lu et. al. in Arthritis Care & Research found that women who drank one glass of milk daily had 32% thicker, healthier cartilage than women who did not. Researchers obtained information on milk consumption through questionnaires and measured cartilage through xrays. In the article, researched conclude, “Our study suggested that frequent milk intake may be associated with reduced OA progression in women.” (Source: Lu et al., “Milk consumption and progression of medial tibiofemoral knee osteoarthritis: Data from the osteoarthritis initiative,” Arthritis Care & Research, vol. 66 [June 2014]: 802-809, https://doi.org/10.10002/acr.22297
Does this study show drinking milk causes increased cartilage production? Why or why not?
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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 statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
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 statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Chapter 1 Solutions
Introductory Statistics
Ch. 1 - The data in Table 1A were collected from one of...Ch. 1 - The data in Table 1A were collected from one of...Ch. 1 - The data in Table 1A were collected from one of...Ch. 1 - The data in Table 1A were collected from one of...Ch. 1 - The data in Table 1A were collected from one of...Ch. 1 - The data in Table 1A were collected from one of...Ch. 1 - The data in Table 1A were collected from one of...Ch. 1 - Coding Suppose you decided to code living...Ch. 1 - The data in Table 1A were collected from one of...Ch. 1 - Coding Students who have accumulated fewer than 30...
Ch. 1 - Facebook Wall Posts (Example 2) A student shared...Ch. 1 - Age of Marriage A student did a survey on the age...Ch. 1 - Snacks Emmanuel, a student at a Los Angeles high...Ch. 1 - Movies A sample of students were questioned to...Ch. 1 - Use the data in Table 1A to answer questions 1.15...Ch. 1 - Use the data in Table 1A to answer questions 1.15...Ch. 1 - Use the data in Table 1A to answer questions 1.15...Ch. 1 - Use the data in Table 1A to answer questions 1.15...Ch. 1 - Investigating Data (Example 4) A data set on Shark...Ch. 1 - Investigating Data Suppose a surfer wanted to...Ch. 1 - Hands (Example 5) A survey was done of men’s and...Ch. 1 - Hands-Biased A survey was done of men’s and...Ch. 1 - Finding and Using Percentages a. A statistics...Ch. 1 - Finding and Using Percentages a. A hospital...Ch. 1 - Women Find the frequency, proportion, and...Ch. 1 - Brown-Haired People Find the frequency,...Ch. 1 - Two-Way Table from Data Make a two-way table from...Ch. 1 - Two-Way Table from Data Make a two-way table from...Ch. 1 - Occupation Growth (Example 6) The 2017 World...Ch. 1 - Chocolate Sales The 2017 World Almanac and Book of...Ch. 1 - Incarceration Rates (Example 7) The table gives...Ch. 1 - Population Density The accompanying table gives...Ch. 1 - Health Insurance The accompanying table gives the...Ch. 1 - Cable TV Subscriptions The accompanying table...Ch. 1 - Percentage of Elderly The projected U.S....Ch. 1 - Marriage and Divorce The marriage and divorce...Ch. 1 - Course Enrollment Rates Two sections of statistics...Ch. 1 - Prob. 38SECh. 1 - For Exercises 1.39 through 1.44, indicate whether...Ch. 1 - For Exercises 1.39 through 1.44, indicate whether...Ch. 1 - For Exercises 1.39 through 1.44, indicate whether...Ch. 1 - For Exercises 1.39 through 1.44, indicate whether...Ch. 1 - For Exercises 1.39 through 1.44, indicate whether...Ch. 1 - For Exercises 1.39 through 1.44, indicate whether...Ch. 1 - Vitamin C and Cancer The blog NHS Choices...Ch. 1 - Aloe Vera You can find many testimonials on the...Ch. 1 - Effects of Tutoring on Math Grades (Example 8) A...Ch. 1 - Treating Depression A doctor who believes strongly...Ch. 1 - Try Exercise and Language Learning (Example 9) In...Ch. 1 - Pneumonia Vaccine for Young Children A study...Ch. 1 - Does Fish Oil Lower Asthma Risk? The New England...Ch. 1 - Association between Glycemic Load and Acne? An...Ch. 1 - Milk and Cartilage (Example 10) Cartilage is a...Ch. 1 - Autism and MMR Vaccine An article by Wakefield et...Ch. 1 - Prob. 55SECh. 1 - Effect of Confederates on Compliance A study was...Ch. 1 - A Salad a Day Keeps Stroke Away? The Harvard Heart...Ch. 1 - Does Drinking Sugary Beverages Lead to Dementia?...Ch. 1 - Secondhand Smoke Exposure and Young Children...Ch. 1 - Prob. 60CRECh. 1 - Speeding Tickets College students who were drivers...Ch. 1 - Prob. 62CRECh. 1 - Writing: Vitamin D Describe the design of a...Ch. 1 - Writing: Strokes People who have had strokes are...Ch. 1 - Yoga and High-Risk Adolescents Can mindful yoga...Ch. 1 - Neurofeedback and ADHD Some studies have indicated...Ch. 1 - Virtual Reality and Fall Risk A study was...Ch. 1 - Ear Infections Babies 6 to 23 months of age with...Ch. 1 - Effects of Light Exposure A study carried out by...Ch. 1 - Scared Straight The idea of sending delinquents to...
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- 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 statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…arrow_forward2 (VaR and ES) Suppose X1 are independent. Prove that ~ Unif[-0.5, 0.5] and X2 VaRa (X1X2) < VaRa(X1) + VaRa (X2). ~ Unif[-0.5, 0.5]arrow_forward8 (Correlation and Diversification) Assume we have two stocks, A and B, show that a particular combination of the two stocks produce a risk-free portfolio when the correlation between the return of A and B is -1.arrow_forward
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