Eye and hair color A survey of 1021 school-age children was conducted by randomly selecting children from several large urban elementary schools. Two of the questions concerned eye and hair color. In the survey, the following codes were used: Hair Color Eye Color 1 = Blond 1 = Blue 2 = Brown 2 = Green 3 = Black 3 = Brown 4 = Red 4 = Grey 5 = Other 5 = Other The statistics students analyzing the data were asked to study the relationship between eye and hair color. a) One group of students produced the output shown below. What kind of analysis is this? What are the null and alternative hypotheses? Is the analysis appropriate? If so, summarize the findings, being sure to include any assumptions you’ve made and/or limitations to the analysis. If it’s not an appropriate analysis, state explicitly why not. Dependent variable is Eyes R-squared = 3.7% s = 1.112 with 1021 - 2 = 1019 degrees of freedom b) A second group of students used the same data to produce the output shown below. The table displays counts and standardized residuals in each cell. What kind of analysis is this? What are the null and alternative hypotheses? Is the analysis appropriate? If so, summarize the findings, being sure to include any assumptions you’ve made and/or limitations to the analysis. If it’s not an appropriate analysis, state explicitly why not. ∑ ( O b s − E x p ) 2 E x p = 223.6 P-value < 0.00001
Eye and hair color A survey of 1021 school-age children was conducted by randomly selecting children from several large urban elementary schools. Two of the questions concerned eye and hair color. In the survey, the following codes were used: Hair Color Eye Color 1 = Blond 1 = Blue 2 = Brown 2 = Green 3 = Black 3 = Brown 4 = Red 4 = Grey 5 = Other 5 = Other The statistics students analyzing the data were asked to study the relationship between eye and hair color. a) One group of students produced the output shown below. What kind of analysis is this? What are the null and alternative hypotheses? Is the analysis appropriate? If so, summarize the findings, being sure to include any assumptions you’ve made and/or limitations to the analysis. If it’s not an appropriate analysis, state explicitly why not. Dependent variable is Eyes R-squared = 3.7% s = 1.112 with 1021 - 2 = 1019 degrees of freedom b) A second group of students used the same data to produce the output shown below. The table displays counts and standardized residuals in each cell. What kind of analysis is this? What are the null and alternative hypotheses? Is the analysis appropriate? If so, summarize the findings, being sure to include any assumptions you’ve made and/or limitations to the analysis. If it’s not an appropriate analysis, state explicitly why not. ∑ ( O b s − E x p ) 2 E x p = 223.6 P-value < 0.00001
Solution Summary: The author explains that the null and alternative hypothesis is not able to write this method because eye and hair color are categorical variables.
Eye and hair color A survey of 1021 school-age children was conducted by randomly selecting children from several large urban elementary schools. Two of the questions concerned eye and hair color. In the survey, the following codes were used:
Hair Color
Eye Color
1 = Blond
1 = Blue
2 = Brown
2 = Green
3 = Black
3 = Brown
4 = Red
4 = Grey
5 = Other
5 = Other
The statistics students analyzing the data were asked to study the relationship between eye and hair color.
a) One group of students produced the output shown below. What kind of analysis is this? What are the null and alternative hypotheses? Is the analysis appropriate? If so, summarize the findings, being sure to include any assumptions you’ve made and/or limitations to the analysis. If it’s not an appropriate analysis, state explicitly why not.
Dependent variable is Eyes
R-squared = 3.7%
s = 1.112 with 1021 - 2 = 1019 degrees of freedom
b) A second group of students used the same data to produce the output shown below. The table displays counts and standardized residuals in each cell. What kind of analysis is this? What are the null and alternative hypotheses? Is the analysis appropriate? If so, summarize the findings, being sure to include any assumptions you’ve made and/or limitations to the analysis. If it’s not an appropriate analysis, state explicitly why not.
∑
(
O
b
s
−
E
x
p
)
2
E
x
p
=
223.6
P-value
<
0.00001
1.2.17. (!) Let G,, be the graph whose vertices are the permutations of (1,..., n}, with
two permutations a₁, ..., a,, and b₁, ..., b, adjacent if they differ by interchanging a pair
of adjacent entries (G3 shown below). Prove that G,, is connected.
132
123
213
312
321
231
You are planning an experiment to determine the effect of the brand of gasoline and the weight of a car on gas mileage measured in miles per gallon. You will use a single test car, adding weights so that its total weight is 3000, 3500, or 4000 pounds. The car will drive on a test track at each weight using each of Amoco, Marathon, and Speedway gasoline. Which is the best way to organize the study?
Start with 3000 pounds and Amoco and run the car on the test track. Then do 3500 and 4000 pounds. Change to Marathon and go through the three weights in order. Then change to Speedway and do the three weights in order once more.
Start with 3000 pounds and Amoco and run the car on the test track. Then change to Marathon and then to Speedway without changing the weight. Then add weights to get 3500 pounds and go through the three gasolines in the same order.Then change to 4000 pounds and do the three gasolines in order again.
Choose a gasoline at random, and run the car with this gasoline at…
AP1.2 A child is 40 inches tall, which places her at the 90th percentile of all children of similar age. The heights for children of this age form an approximately Normal distribution with a mean of 38 inches. Based on this information, what is the standard deviation of the heights of all children of this age?
0.20 inches (c) 0.65 inches (e) 1.56 inches
0.31 inches (d) 1.21 inches
Chapter R Solutions
Intro Stats, Books a la Carte Edition (5th Edition)
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