Construct PivotTables showing the counts of gender versus carrier and type versus usage in the Excel file Cell Phone Survey. What might you conclude from this analysis? Note: You need to create two pivot tables: The first one gender and carrier. The second one type and usage. In both of them use signal strength in the sigma values box.

Construct PivotTables showing the counts of gender versus carrier and type versus usage in the Excel file Cell Phone Survey. What might you conclude from this analysis? Note: You need to create two pivot tables: The first one gender and carrier. The second one type and usage. In both of them use signal strength in the sigma values box.

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

Chapter3: Data Visualization

Section: Chapter Questions

Problem 16P: Consider the following survey results regarding smartphone ownership by age: a. Construct a...

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Consider the following survey results regarding smartphone ownership by age: a. Construct a stacked-column chart to display the survey data on type of cell-phone ownership. Use Age Category as the variable on the horizontal axis. b. Construct a clustered column chart to display the survey data. Use Age Category as the variable on the horizontal axis. c. What can you infer about the relationship between age and smartphone ownership from the column charts in parts a and b? Which column chart (stacked or clustered) is best for interpreting this relationship? Why?
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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You need to create a chart that displays the volume of transactions for each customer type. Which type of graph or chart is commonly used to compare data across categories? Spatial Bar chart Scatter plot Line 马
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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…
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