Statistical Reasoning for Everyday Life (5th Edition)
5th Edition
ISBN: 9780134494043
Author: Jeff Bennett, William L. Briggs, Mario F. Triola
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Textbook Question
Chapter 1, Problem 6CQ
In Exercises 6–10, consider a clinical trial designed to determine whether daily doses of 81-mg aspirin tablets have any effect on pulse rates. One group of subjects is given daily doses of 81-mg aspirin tablets and a second group is given daily doses of placebo tablets.
- 6. Is this an experiment or an observational study?
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Heart rate during laughter. Laughter is often called “the best medicine,” since studies have shown that laughter can reduce muscle tension and increase oxygenation of the blood. In the International Journal of Obesity (Jan. 2007), researchers at Vanderbilt University investigated the physiological changes that accompany laughter. Ninety subjects (18–34 years old) watched film clips designed to evoke laughter. During the laughing period, the researchers measured the heart rate (beats per minute) of each subject,
with the following summary results:
Mean = 73.5,
Standard Deviation = 6. n=90 (we can treat this as a large sample and use z)
It is well known that the mean resting heart rate of adults is 71 beats per minute. Based on the research on laughter and heart rate, we would expect subjects to have a higher heart beat rate while laughing.Construct 95% Confidence interval using z value. What is the lower bound of CI?
a) Calculate the value of the test statistic.(z*)
b) If…
You are asked to design a study to investigate the effectiveness of the Atkins diet (IV = diet, DV = weight loss). Describe a study that would utilize a dependent t test as the test statistic.
You are studying the effects of smoking by pregnant women on rates of asthma in their
children. You collect data on the number of cigarettes smoked per day and whether or not the
child developed asthma by the age of two. The data is below:
Smoked 1-5 cigarettes per day --- 9.2% developed asthma
Smoked 6-10 cigarettes per day --- 10.3% developed asthma
Smoked 11-20 cigarettes per day --- 25.4% developed asthma
Smoked 21-40 cigarettes per day --- 34.8% developed asthma
Smoked 41-60 cigarettes per day --- 38.1% developed asthma
In order to study the relationship between the number of cigarettes smoked by pregnant women per day and the
percentage of their children developed asthma by the age of two using statistical knowledge, we convert the above
data into the following format and see if we can obtain an adequate fit using linear regression.
Average number of cigarettes smoked per day 3
Percentage of children developed asthma
8
15.5 30.5 50.5
9.2% 10.3% 25.4% 34.8% 38.1%
es.
Chapter 1 Solutions
Statistical Reasoning for Everyday Life (5th Edition)
Ch. 1.1 - Prob. 1ECh. 1.1 - Basic Definitions. Define the terms population,...Ch. 1.1 - Confidence Interval. What is a margin of error,...Ch. 1.1 - Statistical Process. Describe the five basic steps...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...Ch. 1.1 - Does It Make Sense? For Exercises 510, determine...
Ch. 1.1 - Prob. 11ECh. 1.1 - Population, Sample, Statistic, and Parameter....Ch. 1.1 - Population, Sample, Statistic, and Parameter....Ch. 1.1 - Population, Sample, Statistic, and Parameter....Ch. 1.1 - Identifying the Confidence Interval. In Exercises...Ch. 1.1 - Identifying the Confidence Interval. In Exercises...Ch. 1.1 - Identifying the Confidence Interval. In Exercises...Ch. 1.1 - Identifying the Confidence Interval. In Exercises...Ch. 1.1 - Identifying the Confidence Interval. In Exercises...Ch. 1.1 - Identifying the Confidence Interval. In Exercises...Ch. 1.1 - Forming Conclusions. For each of Exercises 2124,...Ch. 1.1 - Forming Conclusions. For each of Exercises 2124,...Ch. 1.1 - Forming Conclusions. For each of Exercises 2124,...Ch. 1.1 - Forming Conclusions. For each of Exercises 2124,...Ch. 1.1 - Interpreting Real Studies. For each of Exercises...Ch. 1.1 - Interpreting Real Studies. For each of Exercises...Ch. 1.1 - Interpreting Real Studies. For each of Exercises...Ch. 1.1 - Interpreting Real Studies. For each of Exercises...Ch. 1.1 - Five Steps in a Study. Describe how you would...Ch. 1.1 - Five Steps in a Study. Describe how you would...Ch. 1.1 - Five Steps in a Study. Describe how you would...Ch. 1.1 - Five Steps in a Study. Describe how you would...Ch. 1.2 - Census and Sample. What is a census, what is a...Ch. 1.2 - Representative Sample. What is a representative...Ch. 1.2 - Biased Sample. What is a biased sample, and what...Ch. 1.2 - Sampling Methods. List and define five common...Ch. 1.2 - Does It Make Sense? For Exercises 58, determine...Ch. 1.2 - Does It Make Sense? For Exercises 58, determine...Ch. 1.2 - Does It Make Sense? For Exercises 58, determine...Ch. 1.2 - Does It Make Sense? For Exercises 58, determine...Ch. 1.2 - Census. In Exercises 912, determine whether a...Ch. 1.2 - Census. In Exercises 912, determine whether a...Ch. 1.2 - Census. In Exercises 912, determine whether a...Ch. 1.2 - Census. In Exercises 912, determine whether a...Ch. 1.2 - Representative Samples? In Exercises 1316,...Ch. 1.2 - Representative Samples? In Exercises 1316,...Ch. 1.2 - Representative Samples? In Exercises 1316,...Ch. 1.2 - Representative Samples? In Exercises 1316,...Ch. 1.2 - Evaluate the Sample Choices. Exercises 17 and 18...Ch. 1.2 - Evaluate the Sample Choices. Exercises 17 and 18...Ch. 1.2 - Bias. In Exercises 1922, determine whether there...Ch. 1.2 - Bias. In Exercises 1922, determine whether there...Ch. 1.2 - Bias. In Exercises 1922, determine whether there...Ch. 1.2 - Bias. In Exercises 1922, determine whether there...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Sampling Methods. In Exercises 2338, identify...Ch. 1.2 - Choosing Sampling Methods. For each of Exercises...Ch. 1.2 - Prob. 40ECh. 1.2 - Prob. 41ECh. 1.2 - Choosing Sampling Methods. For each of Exercises...Ch. 1.3 - Variables. Define variable, variables, of...Ch. 1.3 - Confounding. In testing the effectiveness of a new...Ch. 1.3 - Placebo. What is a placebo, and why is it...Ch. 1.3 - Blinding. What is blinding, and why is it...Ch. 1.3 - Does It Make Sense? For Exercises 58, determine...Ch. 1.3 - Does It Make Sense? For Exercises 58, determine...Ch. 1.3 - Does It Make Sense? For Exercises 58, determine...Ch. 1.3 - Does It Make Sense? For Exercises 58, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Type of Study. For Exercises 920, determine...Ch. 1.3 - Confounding. For each of the studies described in...Ch. 1.3 - Confounding. For each of the studies described in...Ch. 1.3 - Confounding. For each of the studies described in...Ch. 1.3 - Confounding. For each of the studies described in...Ch. 1.3 - Confounding. For each of the studies described in...Ch. 1.3 - Confounding. For each of the studies described in...Ch. 1.3 - Confounding. For each of the studies described in...Ch. 1.3 - Confounding. For each of the studies described in...Ch. 1.3 - Analyzing Experiments. Exercises 2932 present...Ch. 1.3 - Analyzing Experiments. Exercises 2932 present...Ch. 1.3 - Analyzing Experiments. Exercises 2932 present...Ch. 1.3 - Analyzing Experiments. Exercises 2932 present...Ch. 1.4 - Critical Evaluation. Briefly describe the eight...Ch. 1.4 - Peer Review. What is peer review? How is it...Ch. 1.4 - Selection Bias and Participation Bias. Describe...Ch. 1.4 - Self-Selected Surveys. Why are self-selected...Ch. 1.4 - Does It Make Sense? For Exercises 58, determine...Ch. 1.4 - Does It Make Sense? For Exercises 58, determine...Ch. 1.4 - Does It Make Sense? For Exercises 58, determine...Ch. 1.4 - Does It Make Sense? For Exercises 58, determine...Ch. 1.4 - Applying Guidelines. In Exercises 916, determine...Ch. 1.4 - Applying Guidelines. In Exercises 916, determine...Ch. 1.4 - Applying Guidelines. In Exercises 916, determine...Ch. 1.4 - Applying Guidelines. In Exercises 916, determine...Ch. 1.4 - Applying Guidelines. In Exercises 916, determine...Ch. 1.4 - Applying Guidelines. In Exercises 916, determine...Ch. 1.4 - Applying Guidelines. In Exercises 916, determine...Ch. 1.4 - Applying Guidelines. In Exercises 916, determine...Ch. 1.4 - Bias. In each of Exercises 1720, identify and...Ch. 1.4 - Bias. In each of Exercises 1720, identify and...Ch. 1.4 - Bias. In each of Exercises 1720, identify and...Ch. 1.4 - Bias. In each of Exercises 1720, identify and...Ch. 1.4 - Its All in the Wording. Princeton Survey Research...Ch. 1.4 - Tax or Spend? A Gallup poll asked the following...Ch. 1.4 - Accurate Headlines? Exercises 23 and 24 give a...Ch. 1.4 - Accurate Headlines? Exercises 23 and 24 give a...Ch. 1.4 - Stat Bites. Politicians commonly believe that they...Ch. 1.4 - Stat Bites. Politicians commonly believe that they...Ch. 1.4 - Stat Bites. Politicians commonly believe that they...Ch. 1.4 - Stat Bites. Politicians commonly believe that they...Ch. 1 - Medication Usage In a survey of 3005 adults aged...Ch. 1 - Simple Random Sample. An important element of this...Ch. 1 - Echinacea Treatment. Rhinoviruses typically cause...Ch. 1 - Wording of a Survey Question. In The...Ch. 1 - In Exercises 15, assume that you conduct a survey...Ch. 1 - In Exercises 15, assume that you conduct a survey...Ch. 1 - In Exercises 15, assume that you conduct a survey...Ch. 1 - In Exercises 15, assume that you conduct a survey...Ch. 1 - In Exercises 15, assume that you conduct a survey...Ch. 1 - In Exercises 610, consider a clinical trial...Ch. 1 - In Exercises 610, consider a clinical trial...Ch. 1 - In Exercises 610, consider a clinical trial...Ch. 1 - In Exercises 610, consider a clinical trial...Ch. 1 - In Exercises 610, consider a clinical trial...Ch. 1 - In a Marist Poll, respondents chose the most...Ch. 1 - From the poll results given in Exercise 11, can we...Ch. 1 - Consider a study in which you measure the weights...Ch. 1 - Consider a survey of randomly selected people in...Ch. 1 - If a statistical study is carefully conducted in...Ch. 1 - Public Health Is Your Lifestyle Healthy? Consider...Ch. 1 - Prob. 2.3FCh. 1 - Prob. 2.5F
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 is an experiment?arrow_forwardA researcher studying the effects of environment on mood asks 100 college-age students to sit alone in a waiting room for 15 minutes at the beginning of an experiment. Half of the individuals are assigned to a room with dark blue walls, and the other half are assigned to a room with bright yellow walls. After 15 minutes in the waiting room, each person is brought into the lab and asked to rate their mood on a scale of 1-7. 1. what is the research hypothesisarrow_forwardThe article cited in Exercise 4 also investigated the effects of the factors on glucose consumption (in g/L). A single measurement is provided for each combination of factors (in the article, there was some replication). The results are presented in the following table. Glucose Consumption 68.0 -1 -1 -1 -1 -1 77.5 -1 -1 98.0 1. 1. -1 98.0 -1 -1 74.0 -1 77.0 -1 97.0 98.0 Compute estimates of the main effects and the interactions. a. Is it possible to compute an error sum of squares? Explain. Are any of the interactions among the larger effects? If so, which ones? d. Assume that it is known from past experience that the additive model holds. Add the sums of squares for the interactions, and use that result in place of an error sum of squares to test the hypotheses that the main effects are equal to 0. Ъ. C.arrow_forward
- Could it be that smoking actually increases survival rates among women? The accompanying data represent the 20-year survival status and smoking status of 1339 women who participated in a 20-year cohort study. Complete parts (a) through (e).arrow_forwardResearchers examined the effect of phosphate supplementation on bone formation in 6 healthy adult dogs. For each dog, bone formation was measured twice: once after 12 weeks of phosphate supplementation, and once after a 12-week control period. The results in percent bone growth per year are shown below. Do these data provide evidence that phosphatesupplementation significantly stimulates bone formation?Dog ID 1 2 3 4 5 6 Control 1.73 3.37 3.59 2.05 1.86 3.60Phosphate 8.16 4.58 3.98 5.24 3.04 7.03 a. Write an appropriate null and alternative hypothesis for the mean difference.b. If the test statistic value was t = –2.92, determine the p-value using the appropriate degrees of freedom.arrow_forwardRefer to the data presented in Exercise 2.86. Note that there were 50% more accidents in the 25 to less than 30 age group than in the 20 to less than 25 age group. Does this suggest that the older group of drivers in this city is more accident- prone than the younger group? What other explanation might account for the difference in accident rates?arrow_forward
- Cindy, a financial analyst is studying the relationship between family decisions to borrow money to finance a child’s education and the child’s expected income after graduation. To aid the study, 440 randomly selected families were surveyed with the results provided below. At alpha =0.01, can you conclude that the decision to borrow money is related to a child’s expected income after graduation? Expected income More Likely Less Likely Did not make a difference Did not consider it Less than $20,000 37 10 22 25 $20,000-$45000 28 12 15 16 $45000-$70000 55 9 65 48 Greater than $70000 36 1 29 32 What is the degrees of freedom? What is the critical value? Leave your answers in 4 decimal places The degrees of freedom is and the P- value is .arrow_forwardAs an admissions counselor, I am interested in understanding whether or not there is a difference in stress levels not only between different majors but also between different classes (Freshman v. Seniors). I gather the following data from students from three majors (Psychology, Chemistry, and Engineering), that are in their freshmen or senior years and ask them about their stress levels (scale of 1-10, with lower numbers meaning less stress). Using the data below, test whether there are effects of class, major, or an interaction between them at an alpha of 0.05. Psychology Chemistry Engineering Freshmen 3, 4, 4, 2, 4 4, 5, 7, 8, 4 5, 7, 7, 8, 5 Senior 4, 5, 5, 3, 5 8, 5, 6, 7, 7 9, 9, 8, 7, 9 Complete the ANOVA summary table below: Source SS df MS (variance) F MAJOR CLASS MAJOR*CLASS ERROR/RESIDUAL Nothing here TOTAL Nothing here Nothing here What can we conclude?…arrow_forwardAs an admissions counselor, I am interested in understanding whether or not there is a difference in stress levels not only between different majors but also between different classes (Freshman v. Seniors). I gather the following data from students from three majors (Psychology, Chemistry, and Engineering), that are in their freshmen or senior years and ask them about their stress levels (scale of 1-10, with lower numbers meaning less stress). Using the data below, test whether there are effects of class, major, or an interaction between them at an alpha of 0.05. Psychology Chemistry Engineering Freshmen 3, 4, 4, 2, 4 4, 5, 7, 8, 4 5, 7, 7, 8, 5 Senior 4, 5, 5, 3, 5 8, 5, 6, 7, 7 9, 9, 8, 7, 9 What is the critical F value for major? ___________ What is the critical F value for class? ___________ What is the critical F value for the interaction between major and class? ___________arrow_forward
- Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings.• Life satisfaction and experience of daily stress: r = .57 (p = .01)• Number of friends one has and experience of daily stress: r = .09, not sig.• Number of friends one has and life satisfaction: r = .36 (p = .04) Which of the following conclusions can Dr. Guidry draw about the number of friends one has and life satisfaction based on her statistical analyses? a. The probability of her sample coming from a zero association population is about 4%. (correct answer) b. The probability of her sample coming from a zero association population is about 96%. c. The relationship is not statistically significant. d. The strong correlation means that the number of friends one has causes an…arrow_forwardDr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings.• Life satisfaction and experience of daily stress: r = .57 (p = .01)• Number of friends one has and experience of daily stress: r = .09, not sig.• Number of friends one has and life satisfaction: r = .36 (p = .04) In determining whether the relationship between two of Dr. Guidry’s variables was statistically significant, which of the following must be considered? a. Sample size and number of variables analyzed b. Direction of the association and strength of the association c. Sample size and effect size d. The number of outliers and the direction of the association Answer is C. But why? Why,b,c,d are wrong?arrow_forwardII. Conduct a hypothesis test A research center claims that less than 50% of senior high school students in public schools in the Philippines have accessed the Internet using cellular phones. In a random sample of 100 SHS students, 39% say they have accessed the Internet using cellular phones. At = 0.01, is there enough evidence to support the researcher's claim?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGALBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtGlencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
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