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Q4. Perform a Chi-squared test on the following data. What do you conclude about the null hypothesis? Customer type Coffee drinks Саppuсcino 65 Soy-based coffee Latte Total Male 200 90 20 Female 100 50 55 30 Totals

Q4. Perform a Chi-squared test on the following data. What do you conclude about the null hypothesis? Customer type Coffee drinks Саppuсcino 65 Soy-based coffee Latte Total Male 200 90 20 Female 100 50 55 30 Totals

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Q4. Perform a Chi-squared test on the following data. What do you conclude about the null hypothesis? Customer type Coffee drinks Cappuccino 65 Soy-based coffee Latte Total Male 200 90 20 Female 100 50 55 30 Totals Q5. The following table gives the size of the floor area (ha) and the price ($A000), for 15 houses sold in a certain city. Area 694 905 802 1366 716 821 714 1018 887 790 696 771 | 1006 | 1191 Sale.price 192 215 215 274 113 212 220 276 260 222 255 260 293 375 Type these data into a data frame with column names area and sale.price. (a) Plot sale.price versus area. (b) Use the hist() command to plot a histogram of the sale prices. (c) Repeat (a) and (b) after taking logarithms of sale prices. (d) The two histograms emphasize different parts of the range of sale prices. Describe the differences.
Transcribed Image Text:Q4. Perform a Chi-squared test on the following data. What do you conclude about the null hypothesis? Customer type Coffee drinks Cappuccino 65 Soy-based coffee Latte Total Male 200 90 20 Female 100 50 55 30 Totals Q5. The following table gives the size of the floor area (ha) and the price ($A000), for 15 houses sold in a certain city. Area 694 905 802 1366 716 821 714 1018 887 790 696 771 | 1006 | 1191 Sale.price 192 215 215 274 113 212 220 276 260 222 255 260 293 375 Type these data into a data frame with column names area and sale.price. (a) Plot sale.price versus area. (b) Use the hist() command to plot a histogram of the sale prices. (c) Repeat (a) and (b) after taking logarithms of sale prices. (d) The two histograms emphasize different parts of the range of sale prices. Describe the differences.
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