(1) If r = ?1.00, which one of the following will be true? a. Scores on X will b
ID: 3375907 • Letter: #
Question
(1) If r = ?1.00, which one of the following will be true?
a. Scores on X will be of no use in predicting scores on Y
b. Scores on X can be perfectly predicted from scores on Y
c. The scores on X and Y are both negative
d. The relationship becomes difficult to interpret
(2) Assume that, for variables X and Y, the statistics are as follows:
Variable X:
Mean = 50
SD = 10
Variable Y:
Mean = 100
SD = 20
rxy = +1.00
What would be the predicted score on variable Y for a person who scores 40 on variable X?
a. 40
b. 80
c. 100
d. 120
(3) The usefulness of a screening test for selecting college students for inclusion in an Honors program implies what type of relationship between the screening test and college GPA?
a. positive
b. negative
c. curvilinear
d. perfect
(4) Which one of the following would most likely show a negative correlation?
a. verbal aptitude and number of books read per year
b. body weight and age at which puberty was reached
c. amount of alcohol ingested and driving ability
d. educational level and income
(5) You are testing the hypothesis that the grade point averages differs between college athletes and non-athletes. What is the appropriate analytic technique for this study?
a. two-sample t-test
b. Pearson correlation coefficient
c. chi-square goodness of fit
d. chi-square test of independence
(6) You are testing the hypothesis that the average salary of college graduates 1 year out of college is related to the graduates’ genders and to the graduates’ fields of study. What is the appropriate analytic technique for this study?
a. two-sample t-test
b. analysis of variance
c. chi-square goodness of fit
d. chi-square test of independence
(7) Your chi-square study has 4 categories or conditions of the first variable and 4 levels or conditions of the second variable. How many degrees of freedom are in this study?
a. 7
b. 8
c. 9
d. 16
(8) You have conducted an analysis of variance and found no statistical significance in the F. Should you then calculate a post hoc test?
a. Yes, to see where the hidden significance might lie
b. Yes, to locate the confounding variables that might have masked the effect
c. Yes, to validate your non-significant F
d. No, because there is there is no statistical significance to be found
(9) When subjects who are treated in the SAME way differ in performance, what accounts for their measured difference?
a. random error
b. the treatment
c. the IV (indepdendent variable)
d. this cannot happen
(10) Which of these following would be a related samples study?
1. Amount of sugar added to coffee by men versus women
2. Running speed for soccer players pre-season versus post-season
3. Number of hours the members of a class study for a weekly quiz versus a unit exam
a. 1 and 2 only
b. 1 and 3 only
c. 2 and 3 only
d. 1, 2, and 3
(11) For a very small sample size, you should expect the size of the standard error of the difference between the means to be:
a. larger than usual
b. about the same size as usual
c. smaller than usual
d. almost zero
(12) What is the mean of any sampling distribution of the difference between the means?
a. 0
b. The same as the difference between the two sample means in the study
c. The square root of the combined sample size of the two samples in the study
d. It depends on the value of the raw scores in the two sampling distributions
(13) A research report says that t (63) = 1.99; p = .03. From that information, can you reject the null hypothesis with 95% confidence?
a. yes
b. no
c. it depends on the sample size
d. it depends on the size of the Type 1 error
(14) A two-tailed t test study for a single sample of 28 participants yields a t of -2.35. Given the fixed number of participants, what is the lowest tabled alpha level at which this t is statistically significant?
a. 1%
b. 2%
c. 5%
d. 10%
(15) If the population mean is 50 and the standard deviation is 5, what is the normal deviate Z for a sample of 20 people with a mean of 46?
a. -4.46
b. -3.57
c. 1.12
d. -0.25
Explanation / Answer
Ans:
1)
Scores on X can be perfectly predicted from scores on Y
2)
slope=1*20/10=2
intercept=100-2*50=0
y'=2x
when x=40
y'=2*40=80
3)positive
4)amount of alcohol ingested and driving ability
5) two-sample t-test
6)chi-square test of independence
7)df=(4-1)*(4-1)=3*3=9
11)Larger than usual
12)0,option a is correct.
13)Yes,we can reject null hypothesis,as p-value<0.05
14)df=28-1=27
p-value=tdist(2.35,27,2)=0.0263
As,p-value<0.05,result will be significant.
correct answer is 0.05
15)
z=(46-50)/(5/sqrt(20))
z=-3.57
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