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
Please could you explain why 0.5 was added to each upper limpit of the intervals.Thanks
28. (a) Under what conditions do we say that two random variables X and Y are
independent?
(b) Demonstrate that if X and Y are independent, then it follows that E(XY) =
E(X)E(Y);
(e) Show by a counter example that the converse of (ii) is not necessarily true.
1. Let X and Y be random variables and suppose that A = F. Prove that
Z XI(A)+YI(A) is a random variable.
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