Concept explainers
(Exercises 27–40) For each description of data, identify the W’s, name the variables, specify for each variable whether its use indicates that it should be treated as categorical or quantitative, and, for any quantitative variable, identify the units in which it was measured (or note that they were not provided).
33. Herbal medicine Scientists at a major pharmaceutical firm conducted an experiment to study the effectiveness of an herbal compound to treat the common cold. They exposed each patient to a cold virus, then gave them either the herbal compound or a sugar solution known to have no effect on colds. Several days later they assessed each patient’s condition, using a cold severity scale
Want to see the full answer?
Check out a sample textbook solutionChapter 1 Solutions
Intro Stats
Additional Math Textbook Solutions
Statistical Techniques in Business and Economics
Business Analytics
Statistics: Informed Decisions Using Data (5th Edition)
Introductory Statistics
Essential Statistics
Statistical Reasoning for Everyday Life (5th Edition)
- An engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. weight Miles per (pounds), x Gallon, y 3797 16 3897 16 2704 24 3608 20 3360 22 3040 22 3787 17 2618 24 3509 18 3798 16 3399 17 Interpret the slope y-intercept, if appropriate. Choose the correct answer below for y hat = -0.00661x + 41.80 Would it be reasonable to use the least squares regression line to predict the miles per gallon of a hybrid gas and electric car? Why or why not? Choose answer below a) No, because…arrow_forwardAn engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. weight Miles per (pounds), x Gallon, y 3797 16 3897 16 2704 24 3608 20 3360 22 3040 22 3787 17 2618 24 3509 18 3798 16 3399 17 interpret the slope y-intercept, if appropriate. Choose the correct answer below for y hat = -0.00661x + 41.80 A certain gas powered car weighs 3500 pounds and gets 18 miles per gallon. Is the miles per gallon of this car above average or below average for cars of this weight? Below or Average?arrow_forwardAn engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. weight Miles per (pounds), x Gallon, y 3797 16 3897 16 2704 24 3608 20 3360 22 3040 22 3787 17 2618 24 3509 18 3798 16 3399 17 interpret the slope y-intercept, if appropriate. Choose the correct answer below for y hat = -0.00661x + 41.80 a) A weightless car will get ____ miles per gallon, on average. It is not appropriate to interpret the slope. b) for every pound added to the weight of the car, mileage in the city will…arrow_forward
- In Exercises 37–40, determine the value of k.arrow_forwardlecture(11.14): A professor offered a course that was offered half online and half in person. The professor hypothesized that students were spending less time on the material than on the off line material. At the end of the semester, students were asked to provide the amount of time they tended to course tasks during a week. The weeks were classified as online or in person, and the average amount of time is provided for 15 students. Online: 4 3 5 6 2 2 4 7 5 4 3 2 6 6 3 In person: 5 5 4 7 3 4 4 6 4 5 3 4 5 8 4 Test the hypothesis at( alpha=0.05) level of significance using the 5 step procedure. Make sure to clearly state the null and alternative hypothessis. Round your answer to 2 decimal places.arrow_forwardA relationship expert wants to know if people with higher levels of emotional intelligence (measured on an interval scale from 1–6, with higher numbers meaning more intelligence) will be better liked upon first meeting people (measured on a 1–5 interval scale, with higher numbers meaning more likable). X: Emotional Intelligence Score X: First Impression Rating 6 1 2.5 4 M=3.38 s=2.14 SS = 13.69 Y: First Impression Rating 5 1.5 3 3.5 M=3.25 s=1.44 SS = 6.25 a) Create a scatterplot of the data. b) Calculate r and r2 . c) Report results in APA style. d) What do the results mean?arrow_forward
- A study was conducted at a local college to analyze the average cumulative GPA’s of students who graduated last year. Fill in the letter of the phrase that best describes each of the items below. The average cumulative GPA of students in the study who graduated from the college last year is? a. Data b. Sample c. Population d. Statistic e. Variable f. Parameterarrow_forwardAn engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. weight Miles per (pounds), x Gallon, y 3797 16 3897 16 2704 24 3608 20 3360 22 3040 22 3787 17 2618 24 3509 18 3798 16 3399 17 Find the least squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. Find the least squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y hat = _____x + ______(Round the x…arrow_forwardLarge 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…arrow_forward
- 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…arrow_forwardM4arrow_forwardData was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. Which statement best describes the meaning of one of the bars in the histogram? Frequency 10 8 6 4 2 ✓ 200 220 240 260 280 300 320 340 amount of sugar (mg) 3 snacks have about 210 mg of sugar. The largest number of snacks have 11 mg of sugar 210 snacks have 3 mg of sugar. 210 snacks have between 200 and 220 mg of sugar. Score: 0/1 Time spent on this version: 6.5 minutes.arrow_forward
- 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