What is the age distribution of promotion-sensitive shoppers? A supermarket super shopper is defined as a shopper for whom at least 70% of the items purchased were on sale or purchased with a coupon. Age range, years Midpoint x Percent of super shoppers 18-28 23 10% 29-39 40-50 51-61 56 62 and over 34 45 67 44% 21% 12% 13% a) Graph the histogram of probability distribution of using the age midpoints x and the percentage of super shoppers. (% of supper shopper) x( midpoints) b) Compute the expected age u of a super shopper. (Round your answer to two decimal places.) (Using u = Erp(x) ) %3D

What is the age distribution of promotion-sensitive shoppers? A supermarket super shopper is defined as a shopper for whom at least 70% of the items purchased were on sale or purchased with a coupon. Age range, years Midpoint x Percent of super shoppers 18-28 23 10% 29-39 40-50 51-61 56 62 and over 34 45 67 44% 21% 12% 13% a) Graph the histogram of probability distribution of using the age midpoints x and the percentage of super shoppers. (% of supper shopper) x( midpoints) b) Compute the expected age u of a super shopper. (Round your answer to two decimal places.) (Using u = Erp(x) ) %3D

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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K The data on the right represent the number of live multiple-delivery births (three or more babies) in a particular year for women 15 to 54 years old. Use the data to complete parts (a) through (d) below. Age 15-19 20-24 25-29 30-34 35-39 40-44 45-54 Number of Multiple Births (a) Determine the probability that a randomly selected multiple birth for women 15-54 years old involved a mother 30 to 39 years old. P(30 to 39)= (Type an integer or decimal rounded to three decimal places as needed.) (b) Determine the probability that a randomly selected multiple birth for women 15-54 years old involved a mother who was not 30 to 39 years old. P(not 30 to 39) = 90 510 1622 2838 1845 373 119
The distribution of Bachelor's degrees conferred by university is listed in the table. Assume that a student majors in only one subject. What is the probability that a randomly selected student with a Bachelor's degree majored in Physics or Philosophy? Round your answer to three decimal places. Major Frequency Physics 227 Philosophy 202 Engineering 86 Business 176 Chemistry 222 Group of answer choices 0.470 0.221 0.249 0.530
Historical data show that customers who download music from a popular Web service spend approximately $24 per month, with a standard deviation of $4. Assume the spending follows the normal probability distribution. Find the probability that a customer will spend at least $20 per month. How much (or more) do the top 7% of customers spend? What is the probability that a customer will spend at least $20 per month?
Raffle sells 3000 tickets at 5$ each 40 prizes value $100, 10 value 500$ one values $7000. If you purchase one ticket what is the net gain and probability distribution?
New Survey A survey was conducted two years ago asking college students their top motivations for using a credit card. To determine whether this distribution has changed, you randomly select 425 college students and ask each one what the top motivation is for using a credit card. Can you conclude that there has been a change in the claimed or expected distribution? Use a= 0.05. Complete parts (a) through (d). Old Survey % Frequency, f 112 Response Rewards 27% 23% 97 Low rates Cash back Discounts Other 21% 108 9% 48 20% 60 a. State H, and H, and identify the claim. What is the null hypothesis, Ho? O A. The distribution of motivations is 27% rewards, 23% low rate, 21% cash back, 9% discounts, and 20% other. O B. The distribution of motivations is 112 rewards, 97 low rate, 108 cash back, 48discounts, and 60 other. O C. The distribution of motivations differs from the expected distribution. What is the alternate hypothesis, H2? O A. The distribution of motivations differs from the claimed…
The accompanying table lists the outcomes and the probability distribution for a student renting videos during the week while on campus. Video Rentals per Week during Semester Outcome (number of O weekly video rentals) Probability distribution Outcome 0 (number of weekly video rentals) Probability distribution 1 0 69.81 2 Write the cumulative probability distribution in the table below. Use two decimal places. 3 1.81 4 0.05 0.55 0.25 0.05 0.07 0.02 0.01 Hint: Write your answers in two decimal places. 5 8 The probability of renting between two and four videos a week is 126.95 60 57.14 5 25 600 and the probability of renting less than three a week is
Relax! A recent survey asked 1682 people how many hours per day they were able to relax. The results are presented in the following table. Number of Hours Frequency 0 113 1 184 2 336 3 251 4 318 5 234 6 151 7 35 8 60 Total 1682 Send data to Excel Consider these 1682 people to be a population. Let X be the number of hours of relaxation for a person sampled at random from this population. Part 1 of 5 (a) Construct the probability distribution of X . Round the answer to three decimal places. x 0 1 2 3 4 5 6 7 8 P ( x ) Part 2 of 5 (b) Find the probability that a person relaxes more than 4 hours per day. The probability that a person relaxes more than 4 hours per day is…
Hospital visits: According to a health agency, there were 409,689 hosital visits for asthma-related illnesses in a recent year. The age distribution was as follows. Round your answers to four decimal places if necessary. Age Range Less than 1 year 1-17 18-44 45-64 65-84 85 and up Total Send data to Excel Part 1 of 3 (a) What is the probability that an asthma patient is between 18 and 44 years old? The probability that an asthma patient is between 18 and 44 years old is 0.1944 Part 2 of 3 (b) What is the probability than an asthma patient is less than 1 year old? The probability that an asthma patient is less than 1 year old is 0.0192 Part: 2/3 Number 7862 103,032 79,653 121,731 80,658 16,753 409,689 Part 3 of 3 (c) Using a cutoff of 0.05, is it unusual for an asthma patient to be 85 years old or older? Based on a cutoff of 0.05, it (Choose one) unusual for an asthma patient to be 85 years old or older. is is not X
In the following table, income units are in thousands of dollars, and each interval goes up to but does not include the given high value. The midpoints are given to the nearest thousand dollars. Income range 5-15 15-25 25-35 35-45 45-55 55 or more Midpoint 10 20 30 40 50 60 Percent of super shoppers 21% 14% 22% 15% 20% 8% a. Draw a histogram to graph the probability distribution b. Compute the expected income μ of a super shopper. c. Compute the standard deviation σ for the income of super shoppers.
The data given below show the number of overtime hours worked in one week per employee. Use the data to complete parts (a) and (b). Overtime hours 0 1 2 3 4 5 6 Employees 4 14 25 54 44 28 18 (a) Construct a probability distribution. (b) Graph the probability distribution using a histogram and describe its shape. (a) Construct the probability distribution by completing the table below. x 0 1 2 3 4 5 6 P(x) enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here enter your response here (Round to three decimal places as needed.) (b) Choose the correct graph of the probability distribution. A. 012345600.10.20.30.4Overtime HoursProbability A histogram has a horizontal axis labeled Overtime Hours from 0 to 6 in increments of 1…
The data given below show the number of overtime hours worked in one week per employee. Use the data to complete parts (a) and (b). Overtime hours 0 1 2 3 4 5 6 Employees 4 14 35 53 46 26 17 (a) Construct a probability distribution. (b) Graph the probability distribution using a histogram and describe its shape. (a) Construct the probability distribution by completing the table below. x 0 1 2 3 4 5 6 P(x) nothing nothing nothing nothing nothing nothing nothing (Round to three decimal places as needed.)
K The following data represent the number of drivers involved in a fatal crash in 2016 in various light and weather conditions. Complete parts (a) through (c) below. Click the icon to view the data for fatal crashes in 2016. (a) Among fatal crashes in unknown weather conditions, what is the probability that a randomly selected fatal crash occurs when it is dawn/dusk? The probability that a randomly selected fatal crash in unknown weather conditions occurs when it is dawn/dusk is approximately. (Round to three decimal places as needed.) Data table Weather Daylight Dark, but Lighted 5875 497 51 54 255 Normal Rain Snow/Sleet Other Unknown 14,307 875 219 125 810 (...) Dark 8151 681 156 220 548 Dawn/Dusk Other 1183 87 40 71 65 8 2 9 133 X