The National Sporting Goods Association (NSGA) conducted a survey of the ages of people that purchased athletic footwear in 2009. The ages are summarized in the following relative frequency distribution. Assume the survey was based on 100 individuals. |
Age of Purchaser | Percent |
Under 14 years old | 14 |
14 to 17 years old | 9 |
18 to 24 years old | 12 |
25 to 34 years old | 14 |
35 to 44 years old | 15 |
45 to 64 years old | 22 |
65 years old and over | 14 |
a. |
Calculate the average age of this distribution. Use 10 as the midpoint of the first class and 75 as the midpoint of the last class. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) |
Average age |
b. |
Calculate the sample standard deviation. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) |
Standard deviation |
The National Sporting Goods Association (NSGA) conducted a survey of the ages of people that purchased...
The National Sporting Goods Association (NSGA) conducted a survey of the ages of individuals that purchased skateboarding footwear. The ages of this survey are summarized in the following relative frequency distribution. Assume the survey was based on a sample of 200 individuals. Age of User Percent Under 14 years old 23 14 to 17 years old 40 18 to 24 years old 18 25 to 34 years old 7 35 to 44 years old 7 45 to...
The historical returns on a portfolio had an average return of 21 percent and a standard deviation of 29 percent. Assume that returns on this portfolio follow a bell-shaped distribution. a. Approximately what percentage of returns were greater than 79 percent? (Round your answer to the nearest whole percent.) b. Approximately what percentage of returns were below –66 percent? (Round your answer to 1 decimal place.) ____________________________________________________________________________________________________________________________ The following relative frequency distribution was constructed from a population of 400. Calculate...
Consider a sample with 10 observations of 11, –3, 8, 8, 10, 1, –2, 13, 8, and –4. Use z-scores to determine if there are any outliers in the data; assume a bell-shaped distribution. (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) The z-score for the smallest observation The z-score for the largest observation There are outliers or no outliers in the data. The historical returns on a portfolio had...
Consider a sample with 10 observations of 11, –3, 8, 8, 10, 1, –2, 13, 8, and –4. Use z-scores to determine if there are any outliers in the data; assume a bell-shaped distribution. (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) The z-score for the smallest observation The z-score for the largest observation There are outliers or no outliers in the data. The historical returns on a portfolio had...
x 7 10 8 4 3 y 8 11 9 5 4 a. Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) b-1. Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) b-2. Interpret the correlation coefficient. There is _____ no, a weak negative, a weak positive, a strong...
QULSTUN 18 A survey conducted by National Association of Colleges and Employers found that 76% of all the class of 2015 graduates landed a full-time job or were accepted into graduate school or professional school within six months of earning their degree. Suppose a random sample of 200 graduates is obtained, find the mean and the standard deviation of the sampling distribution of sample proportion, A. HA= 76 and Op = 200 B. M = 0.76 and Op = 0.0634...
A sporting goods store believes the average age of its customers is 38 or less. A random sample of 39 customers years. Using a = 0.01, complete parts a and b below. a. Does the sample provide enough evidence to refute the age claim made by the sporting goods store? Determine the null and alternative hypotheses. Нор Hyu The z-test statistic is (Round to two decimal places as needed.) The critical z-score(s) is(are) (Round to two decimal places as needed....
Entertainment Software Association would like to test if the average age of "gamers" (those that routinely play video games) is more than 30 years old. A random sample of 33 gamers was selected and their ages were recorded. Assume that the standard deviation for the population of the age of gamers is 4.7 years and the true population mean for the age of gamers is 31.2 years. Using α = 0.02, beta equals ________.A) 0.0434B) 0.1247C) 0.2918D) 0.7224
A survey of 25 randomly selected customers found the ages shown (in years). The mean is 32.00 years and the standard deviation is 9.99 3 years. a Construct a 99% confidence interval for the mean age of all customers, assuming that the assumptions and conditions or the con interval have been met b) How large is the margin of error? c) How would the confidence interval change i you had assumed that the standard deviation was known to be 10.0...
9.2.8-T Question Help A sporting goods store believes the average age of its customers is 39 or less. A random sample of 40 customers was surveyed, and the average customer age was found to be 41.8 years. Assume the standard deviation for customer age is 9.0 years. Using c 0.01, complete parts a and below. a. Does the sample provide enough evidence to refute the age claim made by the sporting goods store? Determine the null and alternative hypotheses. Determine...