Which kind of sampling plan was used in each of the following situation? Would the plan result in an unbiased sample? - the manager of large shopping mall are trying to decide whether to add another information booth to the concourse. They hire a student to stand by one door and ask the next 100 people who enter the mall wether they would like to see another information booth added to the mall and If so where?

Which kind of sampling plan was used in each of the following situation? Would the plan result in an unbiased sample? - the manager of large shopping mall are trying to decide whether to add another information booth to the concourse. They hire a student to stand by one door and ask the next 100 people who enter the mall wether they would like to see another information booth added to the mall and If so where?

Essentials of Business Analytics (MindTap Course List)

2nd Edition

ISBN:9781305627734

Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Chapter6: Statistical Inference

Section: Chapter Questions

Problem 6P: In this chapter we showed how a simple random sample of 30 EAI employees can be used to develop...

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Basic Sampling: Comprehensive. Reagan Russell is considering opening a multipurposehardware and lawn store in Anytown, USA. Based on his knowledge of the industry, hebelieves that if the average household income is more than $35,000, the store will ultimatelybe successful. He was planning to attempt a census of the income levels in Anytown but hasheard about sampling and is now considering using sampling to obtain the necessary information to make his decision. Required:a. What would you tell Russell about the advantages and disadvantages of sampling?b. Russell is interested in knowing the advantages and disadvantages of statistical sampling.What would you tell him?c. Russell has heard about sampling and nonsampling risk and is concerned about them.1. Define sampling risk and nonsampling risk.2. How can Russell control his exposure to sampling and nonsampling risk?3. What are some possible examples of sampling and nonsampling risk in this situation?d. Assume that Russell decided to use…
With focus group interviews, a) researchers try to select a large sample so that they can extend the results to the whale population. b) the objective is to get the group to interact, so that many ideas are generated. d it is typical for the researcher to develop quantitative summaries of the results. d marketing managers can estimate the size of the market for a new product. consumers talk as a group for about 10 minutes and then meet individually with an interviewer.
The Sunny Dale Bank monitors the time required to serve customers at the drive-through window becauseit is an important quality factor in competing with other banks in the city. After analyzing the data gathered inan extensive study of the window operation, bank management determined that the mean time to processa customer at the peak demand period is 5 minutes, with a standard deviation of 1.5 minutes. Managementwants to monitor the mean time to process a customer by periodically using a sample size of six customers. Assume that the process variability is in statistical control. Design an x-chart that has a type I error of5 percent. That is, set the control limits so that there is a 2.5 percent chance a sample result will fall below theLCL and a 2.5 percent chance that a sample result will fall above the UCL. After several weeks of sampling,two successive samples came in at 3.70 and 3.68 minutes, respectively. Is the customer service process instatistical control?
The Human Resources Manager for Optilytics LLC is evaluating applications for the position of Senior Data Scientist. The file OptilyticsLLC presents summary data of the applicants for the position. a. Use a PivotTable in Excel to create a joint probability table showing the probabilities associated with a randomly selected applicants sex and highest degree achieved. Use this joint probability table to answer the questions below. b. What are the marginal probabilities? What do they tell you about the probabilities associated with the sex of applicants and highest degree completed by applicants? c. If the applicant is female, what is the probability that the highest degree completed by the applicant is a PhD? d. If the highest degree completed by the applicant is a bachelors degree, what is the probability that the applicant is male? e. What is the probability that a randomly selected applicant will be a male whose highest completed degree is a PhD?
Basic Sampling. You are employed by Northeast Airlines and have been asked to determinethe rate of on-time arrivals for competing airlines at a proposed hub location. Northeast isknown for its outstanding customer service and constantly ranks in the top three among allairlines in on-time arrivals with an average rate of 82 percent of all flights.Because it would be a new entrant in this particular airport, Northeast does not believe itcan compete unless its on-time arrival rate can surpass that of the airlines currently serving thishub. Because each of the four major competitors has hundreds of flights arriving at the hub ona daily basis, you are considering the use of sampling to estimate an on-time arrival rate.Required:a. Define sampling. What are the primary advantages and primary disadvantages of usingsampling in this application?b. Briefly describe how you would identify the population of flights from which you intendto sample.c. Define sampling risk and nonsampling risk. Provide…
A highway department is studying the relationship between traffic flow and speed during rush hour on Highway 193. The data in the file TrafficFlow were collected on Highway 193 during 100 recent rush hours. a. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between vehicle speed and traffic flow? b. Develop an estimated simple linear regression equation for the data. How much variation in the sample values of traffic flow is explained by this regression model? Use a 0.05 level of significance to test the relationship between vehicle speed and traffic flow. What is the interpretation of this relationship? c. Develop an estimated quadratic regression equation for the data. How much variation in the sample values of traffic flow is explained by this regression model? Test the relationship between each of the independent variables and the dependent variable at a 0.05 level of significance. How would you interpret this model? Is this model superior to the model you developed in part (b)? d. As an alternative to fitting a second-order model, fit a model using a piecewise linear regression with a single knot. What value of vehicle speed appears to be a good point for the placement of the knot? Does the estimated piecewise linear regression provide a better fit than the estimated quadratic regression developed in part (c)? Explain. e. Separate the data into two sets such that one data set contains the observations of vehicle speed less than the value of the knot from part (d) and the other data set contains the observations of vehicle speed greater than or equal to the value of the knot from part (d). Then fit a simple linear regression equation to each data set. How does this pair of regression equations compare to the single piecewise linear regression with the single knot from part (d)? In particular, compare predicted values of traffic flow for values of the speed slightly above and slightly below the knot value from part (d). f. What other independent variables could you include in your regression model to explain more variation in traffic flow?
You may need to use the appropriate appendix table or technology to answer this question. A government agency provides the number of miles that residents of the 75 largest metropolitan areas travel per day in a car. Suppose that for a simple random sample of 50 City A residents the mean is 22.9 miles a day and the standard deviation is 8.7 miles a day, and for an independent simple random sample of 40 City B residents the mean is 18.6 miles a day and the standard deviation is 7.7 miles a day. (a) What is the point estimate of the difference between the mean number of miles that City A residents travel per day and the mean number of miles that City B residents travel per day? (Use City A − City B.) __________ mi/day
Stan is working on a class project for which he must interview ten of his classmates. He places the names of everyone in his class into a hat and selects 10 names. What kind of sampling is this? systematic sampling o multi-stage sampling simple random sample convenience sampling
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Please refer to the sample and paraphrase the revenue and gross profit. Changing the company name to Newmont Corporation. Please write a close word count to the sample. Thanks!