1. A researcher wanted to see if there was a relationship between education-atta
ID: 3224343 • Letter: 1
Question
1. A researcher wanted to see if there was a relationship between education-attainment level and whether someone smokes or does not smoke. She classified education attainment into three categories—high school graduate, college graduate, or graduate degree—and then performed a chi-square test on the data. What were the degrees of freedom?
A. (2) (1) = 2
B. (3) (1) = 3
C. (3) (2) = 6
D. It cannot be determined without the data.
2. Using a computer program, the chi-square test statistic for the commuter data is X^2 = 5.28 with P-value < 0.021. If we use a = 0.01, what conclusion is appropriate?
A. Reject H0; the results are significant.
B. Reject H0; the results are not significant.
C. Don’t reject H0; the results are significant.
D. Don’t reject H0; the results are not significant.
3. The following is the least-squares regression line that captures the relationship between drinking (number of nights per week) and number of days missed from college annually for college students.
Formula: y = 7 + 1.62 x
A college student who drinks two nights a week is predicted to miss ____ day(s) from college annually?
A. 9
B. 10.24
C. 10.62
D. 22.68
4. When = 0, the population correlation is:
A. r = 1.
B. r = 0.
C. = b.
D. a = 0 and r = 1.
5. Edwin Hubble collected data on the relationship between the distance a galaxy is from Earth and the velocity with which it is receding. He collected data on 25 galaxies. The formula for a confidence interval for the population slope b is b ± t* SEb
What is the degrees of freedom for the critical value t* in this example?
A. 21
B. 22
C. 23
D. 24
Explanation / Answer
1)as degree of freedom =(row-1)**column-1)
option A is correct A. (2) (1) = 2
2)D. Don’t reject H0; the results are not significant.
3)Y=7+1.62*2=10.24 option B is correct
4)quetion not clear that whar is 0
5) degree of freedom =n-2=23
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