A medical researcher wishes to determine if there is a relationship between the number of prescriptions written bypediatricians and the ages of the children for whom the prescriptions are written. She surveys all the pediatricians in ageographical region to collect her data. What is the response variable?OA. Number of children for whom prescriptions were writtenOB. Age of the children for whom prescriptions were writtenOC. Number of prescriptions writtenOD. Pediatricians surveyed

Independent variable =explanatory variable =x Dependent variable =response variable =y Explanatory…

Answered: A medical researcher wishes to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In marketing children’s products, it is extremely important to produce television commercials that hold the attention of the children who view them. A psychologist hired by a marketing research firm wants to determine whether differences in attention span exist among advertisements for different types of products. A number of children under 10 years of age are asked to watch one 60-second commercial for one of three types of products, and their attention spans are measured in seconds. The results are shown in the accompanying table: Type of Product Advertised Toys/Games Food/Candy Children’s Clothing 42 55 30 45 58 35 48 52 42 40 60 32 50 57 38 b). What type of error is possible and describe this error in terms of the problem.
The Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at a large university administered CARS to 80 business students. One of the objectives of the study was to determine whether there is a difference between the level of computer anxiety experienced by female students and male students. Of the 80 student survey takers, 40 were male, 40 were female. The results are in the table below for statistical analysis of variability between the two samples. All of these analyses are run with a 95% level of confidence. Males Females Sample Mean 40.26 36.85 Sample Standard Deviation 13.35 9.42 Perform the test chosen in part (d) of the previous problem and supply this information: a. What is the value of the test statistic? b. Find the probability of getting these results if there is no difference in anxiety ratings between the…
Determine which of the following variables are quantitative. A: Rating of the effectiveness of a new cold remedy (Not effective, Somewhat effective, Very effective) B: Amount of time spent assembling a five-shelf bookcase. C. Number of children in a family. Group of answer choices A and B and C B and C A and C A and B
A consumer research company wants to estimate the average cost of an airline ticket for a round trip within the continental United States. A random sample of 50 airfares was gathered giving an average price of $438. Identify the variable. A. Random sample of 50 airfares C. Consumer research company B. Airline Fare D. Quantitative E. $38
Lexie wants to know the proportion of shoppers at Lakeline Mall who are 25 years old or younger. She takes a random sample of 300 shoppers at Lakeline Mall and sees that 189 of them were 25 years old or younger. Let p represent the proportion of shoppers at Lakeline Mall that are 25 years old or younger. Identify the population and the sample in this study. Population = the 300 shoppers selected; Sample = all of the shoppers at this mall. Population = all of the shoppers at this mall; Sample = the number of people 25 years old or less. Population = all of the shoppers at this mall; Sample = the 300 shoppers selected. Population = the 300 shoppers selected; Sample = the number of people 25 years old or less.
A class of students took a test. The instructor said that the 75th percentile score was 90 out of 100. What does this mean? A. 90% of the students scored 75 or more on the test. B. 75% of the students scored 90 or more on the test. C. 25% of the students scored 90 or more on the test. D. The high score in the class was (.75)(90).
Q.2) A manager at the delivery company recorded the mean and median delivery cost, but unfortunately lost the paper on which the values were recorded. However, the manager can remember that one value was about $4.00 and the other was about $4.40. Which value is the mean and which is the median? i. $4.00 is the mean and $4.40 is the median. ii. ii. $4.40 is the mean and $4.00 is the median. iii. It's impossible to tell which is which. 111. Q.3) Which of the following sets of four numbers has the largest standard deviation? (а) 100, 101, 102, 103 (b) 7, 8, 9, 10 (с) 5, 5, 5, 5 (d) 0, 1, 2, 3 (e) 0, 0, 10, 10
Determine whether the data described below are qualitative or quantitative and explain why. Respondents' races are recorded in a survey of racial diversity. Choose the correct answer below. O A. The data are quantitative because they consist of counts or measurements. The data are qualitative because they consist of counts or measurements. O B. O C. The data are qualitative because they don't measure or count anything. O D. The data are quantitative because they don't measure or count anything.
A student earned grades of 74, 75, 79, and 91 on her four regular tests. She earned a grade of 75 on the final exam and 84 on her class projects. Her combined homework grade was 86. The four regular tests count for 40% of the final grade, the final exam counts for 30%, the project counts for 10%, and homework counts for 20%. What is her weighted mean grade? 80.0 80.6 80.5 81.1
A J.D. Power and Associates vehicle quality survey asked new owners a variety of questions about their recently purchased automobile. One question asked for the owner's rating of the vehicle using categorical responses of average, outstanding, and exceptional. Another question asked for the owner's education level with the categorical responses some high school, high school graduate, some college, and college graduate. Assume the sample data below are for 500 owners who had recently purchased an automobile. Education Quality Rating Some HS HS Grad Some College College Grad Average 30 30 20 60 Outstanding 50 50 50 90 Exceptional 20 20 30 50 a. Use a 0.05 level of significance and a test of independence to determine if a new owner's vehicle quality rating is independent of the owner's education. Compute the value of the x test statistic (to 2 decimals). Use Table 3 of Appendix B to find the p-value. The p-value is - Select your answer - What is your conclusion? - Select your answer - v…
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