5. This method is used when the population of interest is large and widely geographically dispersed. Sampling Techniques: A. Simple Random Sampling B. Systematic Random Sampling C. Stratified Sampling D. Cluster Sampling
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5. This method is used when the population of interest is large and widely geographically dispersed.
Sampling Techniques:
A. Simple Random Sampling
B. Systematic Random Sampling
C. Stratified Sampling
D. Cluster Sampling
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- The owner of a restaurant in Bloomington, Indiana, has recorded sales data for the past 19 years. He has also recorded data on potentially relevant variables. The data are listed in the file P13_17.xlsx. a. Estimate a simple regression equation involving annual sales (the dependent variable) and the size of the population residing within 10 miles of the restaurant (the explanatory variable). Interpret R-square for this regression. b. Add another explanatory variableannual advertising expendituresto the regression equation in part a. Estimate and interpret this expanded equation. How does the R-square value for this multiple regression equation compare to that of the simple regression equation estimated in part a? Explain any difference between the two R-square values. How can you use the adjusted R-squares for a comparison of the two equations? c. Add one more explanatory variable to the multiple regression equation estimated in part b. In particular, estimate and interpret the coefficients of a multiple regression equation that includes the previous years advertising expenditure. How does the inclusion of this third explanatory variable affect the R-square, compared to the corresponding values for the equation of part b? Explain any changes in this value. What does the adjusted R-square for the new equation tell you?2. This is sometimes referred to as an area sampling because it is usually applied on a geographical basis. Sampling Techniques: A. Simple Random Sampling B. Systematic Random Sampling C. Stratified Sampling D. Cluster Samplingplease explain the following random sampling methods along with giving examples for each in a business context situation. a) Systematic random sample b) Stratified Sample c) Cluster Sample
- 21. Stratified random sampling is a method of sampling that involves the division of a population into smaller groups known as strataSelect one:TrueFalse1.The most critical criterion in selecting a sampling technique is A.how well the sample represents the population being studied B.the size of the sample C.the sampling methodology used to select the sample D.the sampling unit 2.When examining a research problem, prior research a company has conducted on a previous research question would be classified as A.internal secondary data B.internal primary data C.external secondary data D.external primary data 3. The first step in the marketing research process is to define the issue or problem. The second step is to A.examine secondary data for relevant information B.conduct a primary research study C.decide if an outside research firm will be used or if the research will be conducted internally D.analyze and interpret the dataSuppose you are a market researcher conducting a study to determine the average household income in Durban North. Your budget allows you to survey only 500 households out of the 50,000 households in that particular suburb. Explain how you would use random sampling to select your sample focusing upon the potential sources of bias and error that may arise in the process
- In a study, the sample is chosen by grouping people by their city of residence and selecting 10 residents from each city.What is the sampling method? Simple Random Sampling Systematic Sampling Stratified Sampling Cluster Sampling Convenience SamplingExplain how cluster sampling is different from stratified samplingAs a researcher, you want to determine the courses that the grade 12 students would like to take in college. Using systematic sampling technique, what steps you must consider? I. Ask every 7th student on the list II. Randomly select the students III. Compute the kth interval IV. Divide the population size by the sample size V. Select based on the kth consistent interval
- The major objective of sampling theory is to: Select one: A. define the population. B. choose the largest sample within imposed economic limitations. C. provide accurate estimates of unknown parameters from sample statistics that can be calculated easily. D. locate cluster samples.Population + Sampling Pretend that you are tasked to research about Wits College students' satisfaction. You are basically assessing if students are satisfied with the College. Identify the population of that study. Give a realistic sample. Explain why you chose the sample you have. You need to justify that your sample is ideal for the study.estion 9: Which of the following will give a more "accurate" representation of the population from wh ple has been taken? A) A large sample based on the convenience sampling technique 3) A small sample based on simple random sampling C) A small cluster sample D) A large sample based on simple random sampling tion 10: Researchers claim that the taxes paid are not perceived as same according to the "Region of the d States" people live? Help the researcher. Which statistical test can we use to help the researcher? i-squared test of independence rtial correlation B) Pearson Correlation D) Discriminant Analysis ion 11: You are interested in finding whether people who lost a close friend tend to help others more often. ill perform a(n): -squared test of independence ependent sample t-test B) Multiple regressions D) One-way ANOVA on 12: Which of the following sampling methods is the best way to select a group of people for a study re interested in making statements about the larger…