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)
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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Question
![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 ($A000), for 15 houses
sold in a certain city.
Area
694 905 802 1366 716 821 714 1018 887 790 696 771 | 1006 | 1191
Sale.price 192 215 215 274 113 212 220 276
260 222 255 260 293
375
Type these data into a data frame with column names area and sale.price.
(a) Plot sale.price versus area.
(b) Use the hist() command to plot a histogram of the sale prices.
(c) Repeat (a) and (b) after taking logarithms of sale prices.
(d) The two histograms emphasize different parts of the range of sale prices. Describe the
differences.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F19bcca5e-974f-40d6-99ef-992ff806e231%2Fe80df4bd-4af7-44b7-bc1c-c910efbe802f%2Fist2wgs_processed.png&w=3840&q=75)
Transcribed Image Text:Q4.
Perform a Chi-squared test on the following data. What do you conclude about the null
hypothesis?
Customer type
Coffee drinks
Cappuccino
65
Soy-based
coffee
Latte
Total
Male
200
90
20
Female
100
50
55
30
Totals
Q5.
The following table gives the size of the floor area (ha) and the price ($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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