Concept explainers
Consumers were surveyed on the relative number of visits to a Sears store (often, occasional, and never) and if the store was located in an enclosed mall (yes and no). When variables are measured nominally, such as these data, the results are usually summarized in a
What is the
- (a) Visited a Sears store often?
- (b) Visited a Sears store in an enclosed mall?
- (c) Visited a Sears store in an enclosed mall or visited a Sears store often?
- (d) Visited a Sears store often, given that the shopper went to a Sears store in an enclosed mall?
In addition:
- (e) Are the number of visits and the enclosed mall variables independent?
- (f) What is the probability of selecting a shopper who visited a Sears store often and it was in an enclosed mall?
- (g) Draw a tree diagram and determine the various joint probabilities.
a.
Obtain the probability of selecting a shopper who visits a Sears store often.
Answer to Problem 8SR
The probability of selecting a shopper who visits a Sears store often is 0.4103.
Explanation of Solution
Here, number of shopper who visited Sears often is 80. Total number of shoppers is 195.
The required probability is obtained as given below:
Thus, the probability of selecting a shopper who visits a Sears store often is 0.4103.
b.
Obtain the probability of selecting a shopper in an enclosed mall.
Answer to Problem 8SR
The probability of selecting a shopper in an enclosed mall is 0.4615.
Explanation of Solution
Here, number of shopper who visited an enclosed mall is 90.
The required probability is obtained as given below:
Thus, the probability of selecting a shopper in an enclosed mall is 0.4615.
c.
Obtain the probability of selecting a shopper in an enclosed mall or visited Sears store often.
Answer to Problem 8SR
The probability of selecting a shopper in an enclosed mall or visited Sears store often is 0.5641.
Explanation of Solution
Here, number of shopper who visited an enclosed mall and often is 60.
Thus, the probability of selecting a shopper in an enclosed mall or visited Sears store often is 0.5641.
d.
Obtain the probability of selecting a shopper who visited Sears store often given that shopper went to a Sears store in an enclosed mall.
Answer to Problem 8SR
The probability of selecting a shopper who visited Sears store often given that shopper went to a Sears store in an enclosed mall is 0.6667.
Explanation of Solution
The required probability is obtained as given below:
Thus, the probability of selecting a shopper who visited Sears store often given that shopper went to a Sears store in an enclosed mall is 0.6667.
e.
Check whether number of visits and the enclosed mall variables independent.
Answer to Problem 8SR
Number of visits and the enclosed mall variables are not independent.
Explanation of Solution
Two events A and B are independent if
From part (d),
From part (a),
Thus,
f.
Obtain the probability of selecting a shopper in an enclosed mall and visited Sears store often.
Answer to Problem 8SR
The probability of selecting a shopper in an enclosed mall and visited Sears store often is 0.3077.
Explanation of Solution
Here, number of shopper who visited an enclosed mall and often is 60.
Thus, the probability of selecting a shopper in an enclosed mall and visited Sears store often is 0.3077.
g.
Construct a tree diagram that shows probabilities, conditional probabilities and joint probabilities.
Explanation of Solution
The first branch represents the shoppers visited enclosed mall which is divided into two categories. In the second branch, each category is subdivided into three different visits. The probabilities under the second branch represents conditional probabilities. The product of the probabilities in two branches represent joint probabilities.
The tree diagram is as given below:
Want to see more full solutions like this?
Chapter 5 Solutions
Loose Leaf for Statistical Techniques in Business and Economics
- A 24-1 design has been used to investigate the effect of four factors on the resistivity of a silicon wafer. The data from this experiment are shown in Table 4. Table 4: Resistivity Experiment for Exercise 5 Run A B с D Resistivity 1 23 2 3 4 5 6 7 8 9 10 11 12 I+I+I+I+Oooo 0 0 ||++TI++o000 33.2 4.6 31.2 9.6 40.6 162.4 39.4 158.6 63.4 62.6 58.7 0 0 60.9 3 (a) Estimate the factor effects. Plot the effect estimates on a normal probability scale. (b) Identify a tentative model for this process. Fit the model and test for curvature. (c) Plot the residuals from the model in part (b) versus the predicted resistivity. Is there any indication on this plot of model inadequacy? (d) Construct a normal probability plot of the residuals. Is there any reason to doubt the validity of the normality assumption?arrow_forwardStem1: 1,4 Stem 2: 2,4,8 Stem3: 2,4 Stem4: 0,1,6,8 Stem5: 0,1,2,3,9 Stem 6: 2,2 What’s the Min,Q1, Med,Q3,Max?arrow_forwardAre the t-statistics here greater than 1.96? What do you conclude? colgPA= 1.39+0.412 hsGPA (.33) (0.094) Find the P valuearrow_forward
- A poll before the elections showed that in a given sample 79% of people vote for candidate C. How many people should be interviewed so that the pollsters can be 99% sure that from 75% to 83% of the population will vote for candidate C? Round your answer to the whole number.arrow_forwardSuppose a random sample of 459 married couples found that 307 had two or more personality preferences in common. In another random sample of 471 married couples, it was found that only 31 had no preferences in common. Let p1 be the population proportion of all married couples who have two or more personality preferences in common. Let p2 be the population proportion of all married couples who have no personality preferences in common. Find a95% confidence interval for . Round your answer to three decimal places.arrow_forwardA history teacher interviewed a random sample of 80 students about their preferences in learning activities outside of school and whether they are considering watching a historical movie at the cinema. 69 answered that they would like to go to the cinema. Let p represent the proportion of students who want to watch a historical movie. Determine the maximal margin of error. Use α = 0.05. Round your answer to three decimal places. arrow_forward
- A random sample of medical files is used to estimate the proportion p of all people who have blood type B. If you have no preliminary estimate for p, how many medical files should you include in a random sample in order to be 99% sure that the point estimate will be within a distance of 0.07 from p? Round your answer to the next higher whole number.arrow_forwardA clinical study is designed to assess the average length of hospital stay of patients who underwent surgery. A preliminary study of a random sample of 70 surgery patients’ records showed that the standard deviation of the lengths of stay of all surgery patients is 7.5 days. How large should a sample to estimate the desired mean to within 1 day at 95% confidence? Round your answer to the whole number.arrow_forwardA clinical study is designed to assess the average length of hospital stay of patients who underwent surgery. A preliminary study of a random sample of 70 surgery patients’ records showed that the standard deviation of the lengths of stay of all surgery patients is 7.5 days. How large should a sample to estimate the desired mean to within 1 day at 95% confidence? Round your answer to the whole number.arrow_forward
- In the experiment a sample of subjects is drawn of people who have an elbow surgery. Each of the people included in the sample was interviewed about their health status and measurements were taken before and after surgery. Are the measurements before and after the operation independent or dependent samples?arrow_forwardiid 1. The CLT provides an approximate sampling distribution for the arithmetic average Ỹ of a random sample Y₁, . . ., Yn f(y). The parameters of the approximate sampling distribution depend on the mean and variance of the underlying random variables (i.e., the population mean and variance). The approximation can be written to emphasize this, using the expec- tation and variance of one of the random variables in the sample instead of the parameters μ, 02: YNEY, · (1 (EY,, varyi n For the following population distributions f, write the approximate distribution of the sample mean. (a) Exponential with rate ẞ: f(y) = ß exp{−ßy} 1 (b) Chi-square with degrees of freedom: f(y) = ( 4 ) 2 y = exp { — ½/ } г( (c) Poisson with rate λ: P(Y = y) = exp(-\} > y! y²arrow_forward2. Let Y₁,……., Y be a random sample with common mean μ and common variance σ². Use the CLT to write an expression approximating the CDF P(Ỹ ≤ x) in terms of µ, σ² and n, and the standard normal CDF Fz(·).arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
- Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL