Consider an organization of your choosing that might be creating a survey for a product or service. Write two example questions that you would use to interpret descriptive statistics and two example questions that you would use to interpret inferential statistics.
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Consider an organization of your choosing that might be creating a survey for a product or service. Write two example questions that you would use to interpret descriptive statistics and two example questions that you would use to interpret inferential statistics.
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- POS stands for Point of Sale. List the benefits they have over traditional data collecting methods.Compare and contrast a between-groups design and a within-subjects design. What information about variables, levels, and design should you keep in mind in order to choose an appropriate statistic?Select one method an auditor can use to audit through the computer system. Explain how the method works, any risks associated with the method, and how you would justify using the method from a cost-benefit perspective.
- Suppose you're given a data set that classifies each sample unit into one of four categories: A, B, C, the data as A = 1, B=2, C = 3, and D=4. Are the data consisting of the classifications A, B, C, and D or quantitative? Are the data consisting of the classifications A, B, C, and D qualitiative or quantitative? OA. Qualitative, because they are measured on a naturally occuring numerical scale. B. Quantitative, because they are measured on a naturally occuring numerical scale. C. Quantitative, because they can only be classified into categories. D. Qualitative, because they can only be classified into categories. *** After the data are input as 1, 2, 3, or 4, are they qualitative or quantitative? OA. Qualitative, because they cannot be meaningfully added, subtracted, multiplied, or divided. B. Qualitative, because they are measured on a naturally occurring numerical scale. OC. Quantitative, because they are measured on a naturally occurring numerical scale. OD. Quantitative, because…Explain sensitivity analysis and how is sensitivity measured. Give examples?Define and explain the following. Provide two references A: Audit data analytics B: Audit data analytics procedures.