In: Statistics and Probability
6. To determine the relationship between two variables while holding a third one constant you should calculate a ___________
A. Point biserial correlation
B. Partial correlation
C. Pearson correlation
D. Spearman correlation.
7. A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. What is the correlation between candy price and sales?
City Price ($) Sales
Miami 1.30 100
McKinney 1.60 90
Newberg 1.80 90
Prescott 2.00 40
Tacoma 2.40 38
San Jose 2.90 32
8. A teacher records the scores on a midterm quiz and on the final exam for 8 of her students. She finds that there is a correlation of .896 between the two scores. Calculate the coefficient of determination.
9. A previous statistics class kept records of the number of hours they studied and their score on the final 20 point quiz. Here are the data collected
. hours studied quiz score
X Y
8 18
6 14
5 13
7 15
4 10
Conduct a hypothesis test to investigate whether there is a significant relationship between X and Y, using α= .10
10. In a study of diagnostic processes, entering clinical graduate students are shown a 20-minute videotape of children’s behavior and asked to rank-order 10 behavioral events on the tape in the order of the importance, 1 = most important, and 10 = least important. The data are then averaged to produce an average rank ordering for the entire class. The same thing was then done using experienced clinicians. The data follow: Events Clinicians Student 1 1 2
2 3 4
3 2 1
4 7 6
5 5 5
6 4 3
7 8 10
8 6 8
9 9 7
10 10 9
Use Spearman’s r, to measure the agreement between experienced and novice clinicians.
Q.6 ans :- B.Partial correlation coefficient.
Q.7 X-prices
Y-sales
Correlation between prices and sales
city |
X |
Y |
1 |
1.3 |
100 |
2 |
1.6 |
90 |
3 |
1.8 |
90 |
4 |
2 |
40 |
5 |
2.4 |
38 |
6 |
2.9 |
32 |
By using MS-Excel, correlation coefficient=r=CORREL (G5:G10,H5:H10)= -0.8854
As prices increases sales decreases for the given data.
Q.8 r=0.896
Coefficient of determination=r2=0.802816.
Q.9 X=no.of hours of study
Y=scores
r = 0.976187
To test whether there is a significant relationship between X&Y at α=0.10
H0 : ƿ=0
H1: ƿ≠0
t = ~t(n-2) d.f
tcal=7.794229, t(n-2) d.f=2.3533
tcal> t(n-2) d.f , we reject H0 and conclude that X & Y are correlated.
Q.10
events |
Clinicians |
student |
di |
di^2 |
1 |
1 |
2 |
-1 |
1 |
2 |
3 |
4 |
-1 |
1 |
3 |
2 |
1 |
1 |
1 |
4 |
7 |
6 |
1 |
1 |
5 |
5 |
5 |
0 |
0 |
6 |
4 |
3 |
1 |
1 |
7 |
8 |
10 |
-2 |
4 |
8 |
6 |
8 |
-2 |
4 |
9 |
9 |
7 |
2 |
4 |
10 |
10 |
9 |
1 |
1 |
Total |
18 |
Spearmans rank correlation coefficient : 1 - =0.890909
Here di = rank (xi)-rank(yi).