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
Videos
Textbook Question
Chapter 1.3, Problem 5E
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 have definitive answers, so your explanation is more important than your chosen answer.
5. Exercise Experiment. I plan to use a double-blind experiment to test the hypothesis that people will experience a decrease in their pulse rate if they exercise vigorously for 40 minutes every day.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Large companies typically collect volumes of data before designing a product, not only to gain information as to whether the product should be released, but also to pinpoint which markets would be the best targets for the product. Several months ago, I was interviewed by such a company while shopping at a mall. I was asked about my exercise habits and whether or not I'd be interested in buying a video/DVD designed to teach stretching exercises. I fall into the male, 18 – 35-years-old category, and I guessed that, like me, many males in that category would not be interested in a stretching video. My friend Amanda falls in the female, older-than-35 category, and I was thinking that she might like the stretching video. After being interviewed, I looked at the interviewer's results. Of the 97 people in my market category who had been interviewed, 16 said they would buy the product, and of the 101 people in Amanda's market category, 31 said they would buy it. Assuming that these data came…
Large companies typically collect volumes of data before designing a product, not only to gain information as to whether the product should be released, but also to pinpoint which markets would be the best targets for the product. Several months ago, I was interviewed by such a company while shopping at a mall. I was asked about my exercise habits and whether or not I'd be interested in buying a video/DVD designed to teach stretching exercises. I fall into the male, 18 – 35-years-old category, and I guessed that, like me, many males in that category would not be interested in a stretching video. My friend Diane falls in the female, older-than-35 category, and I was thinking that she might like the stretching video. After being interviewed, I looked at the interviewer's results. Of the 93 people in my market category who had been interviewed, 17 said they would buy the product, and of the 113 people in Diane's market category, 34 said they would buy it. Assuming that these data came…
Regression and Predictions. Exercises 13–28 use the same data sets as Exercises 13–28 in Section 10-1. In each case, find the regression equation, letting the first variable be the predictor (x) variable. Find the indicated predicted value by following the prediction procedure summarized in Figure 10-5 on page 493.
Old Faithful Using the listed duration and interval after times, find the best predicted “interval after” time for an eruption with a duration of 253 seconds. How does it compare to an actual eruption with a duration of 253 seconds and an interval after time of 83 minutes?
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
- International Visitors The number of internationalvisitors to the United States for selected years 1986–2010 is given in the table below. If you had to pick one of these models to predictthe number of international visitors in the year2020, which model would be the more reasonablechoice?arrow_forwardsection 4.1 #30 In Exercises 25–30, determine whether the association between the two variables is positive or negative. Weekly ice cream sales and weekly average temperaturearrow_forwardRegression and Predictions. Exercises 13–28 use the same data sets as Exercises 13–28 in Section 10-1. In each case, find the regression equation, letting the first variable be the predictor (x) variable. Find the indicated predicted value by following the prediction procedure summarized in Figure 10-5 on page 493. Manatees Use the listed boat/manatee data. In a year not included in the data below, there were 970,000 registered pleasure boats in Florida. Find the best predicted number of manatee fatalities resulting from encounters with boats. Is the result reasonably close to 79, which was the actual number of manatee fatalities?arrow_forward
- Complete Part D A recent issue of the AARP Bulletin reported that the average weekly pay for a woman with a high school degree is $520 (AARP Bulletin, January–February, 2010). Suppose you would like to determine if the average weekly pay for all working women is significantly greater than that for women with a high school degree. Data providing the weekly pay for a sample of 50 working women are available in the file named WeeklyPay. These data are consistent with the findings reported in the AARP article. Complete D null hyposthesis: H(o)=520Alternative hypothesis: H(a): greater then 520 sample mean=637.94 the test statistic = 5.62 p-value=0.00 Using a=.05, we would reject the null hypothesis. D. Repeat the hypothesis test using the critical value approach. 582 333 759 633 629 523 320 685 599 753 553 641 290 800 696 627 679 667 542 619 950 614 548 570 678 697 750 569…arrow_forwardO.R data preparation is a trivial step, due to the time required and the possibility of data collection errors. True of fallsarrow_forwardQ. Table provided gives data on gross domestic product (GDP) for the United States for the years 1959–2005. a. Plot the GDP data in current and constant (i.e., 2000) dollars against time. b. Letting Y denote GDP and X time (measured chronologically starting with 1 for 1959, 2 for 1960, through 47 for 2005), see if the following model fits the GDP data: Yt = β1 + β2 Xt + ut Estimate this model for both current and constant-dollar GDP. c. How would you interpret β2? d. If there is a difference between β2 estimated for current-dollar GDP and that estimated for constant-dollar GDP, what explains the difference? e. From your results what can you say about the nature of inflation in the United States over the sample period?arrow_forward
- Nielsen tracks the amount of time that people spend consuming media content across different platforms (digital, audio, television) in the United States. Nielsen has found that traditional television viewing habits vary based on the age of the consumer as an increasing number of people consume media through streaming devices.† The following data represent the weekly traditional TV viewing hours in 2016 for a sample of 14 people aged 18–34 and 12 people aged 35–49. (Round your answers to two decimal places.) Viewers aged 18–34 24.2 21.0 17.8 19.6 23.4 19.1 14.6 27.1 19.2 18.3 22.9 23.4 17.3 20.5 Viewers aged 35–49 24.9 34.9 35.8 31.9 35.4 29.9 30.9 36.7 36.2 33.8 29.5 30.8 (a) Compute the mean and median weekly hours of traditional TV viewed by those aged 18–34.arrow_forwardWhich model—the one for parliaments or the one for ministries (or cabinets)—presented in the article has the greater explanatory power? How can you tell?arrow_forwardUse this data for the exercises that follow: In 2013, there were roughly 317 million citizens in the United States, and about 40 million were elderly (aged 65 and over).[34] 60. It is predicted that by 2030, one in five U.S. citizens will be elderly. How much greater will the chances of meeting an elderly person be at that time? What policy changes do you foresee if these statistics hold true?arrow_forward
- Redo exercises 17 and 18 in section 8.1 of your textbook, about the small animal who lives in an area with woods and meadows, using the following data:If the animal is in the woods on one observation, then it is three times as likely to be in the woods as the meadows on the next observation. If the animal is in the meadows on one observation, then it is four times as likely to be in the meadows as the woods on the next observation.Assume that state 1 is being in the meadows and that state 2 is being in the woods. (A) If the animal is initially in the woods, what is the probability that it is in the woods on the next three observations? (B) If the animal is initially in the woods, what is the probability that it is in the meadow on the next three observations?arrow_forwardA group of five individuals with high blood pressure were given a new drug that was designed to lower blood pressure. Systolic blood pressure was measured before and after treatment for each individual. the table at the right. Can we conclude that the drug does reduce systolic pressure? After Patient Before 170 164 168 166 183 145 132 129 140 145 2 3 4 (A) Yes (B) Noarrow_forwardThe body mass index (BMI) of a person is the person’s weight divided by the square of his or her height. It is an indirect measure of the person’s body fat and an indicator of obesity. Results from surveys conducted by the Centers for Disease Control and Prevention (CDC) showed that the estimated mean BMI for US adults increased from 25.0 in the 1960–1962 period to 28.1 in the 1999–2002 period. [Source: Ogden, C., et al. (2004). Mean body weight, height, and body mass index, United States 1960–2002. Suppose you are a health researcher. You conduct a hypothesis test to determine whether the mean BMI of US adults in the current year is greater than the mean BMI of US adults in 2000. Assume that the mean BMI of US adults in 2000 was 28.1 (the population mean). You obtain a sample of BMI measurements of 1,034 US adults, which yields a sample mean of M = 28.9. Let μ denote the mean BMI of US adults in the current year. Please Formulate the null and alternative hypothesesarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
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