In: Statistics and Probability
1. Kevin Stefanski wanted to see if there is a relationship between the number of penalties the Cleveland Browns players receive a year and the number of presents they receive for the holidays. He takes a random sample of nine players. The data is presented in the table below.
Number of Penalties (X) |
X2 |
Number of Presents (Y) |
Y2 |
XY |
0 |
0 |
15 |
225 |
0 |
4 |
16 |
2 |
4 |
8 |
5 |
25 |
5 |
25 |
25 |
0 |
0 |
13 |
169 |
0 |
16 |
256 |
1 |
1 |
16 |
8 |
64 |
3 |
9 |
24 |
42 |
1,764 |
2 |
4 |
84 |
1 |
1 |
80 |
6,400 |
80 |
10 |
100 |
37 |
1,369 |
370 |
ΣX = 86 |
ΣX2 = 2,226 |
ΣY = 158 |
ΣY2 = 8,206 |
ΣXY = 607 |
1A. Conduct a hypothesis test using the following steps. Set alpha = 0.05, two-tailed.
Step 1: State the hypotheses in symbols (including both H0and H1).
Step 2: Set up the criteria for making the decision. That is, find the critical value.
Step 3: Summarize the data into the appropriate test-statistic. That is, compute the correlation.
Step 4: Evaluate the Null Hypothesis (Reject or Fail to Reject?).
Step 5: State your conclusion (in words).
1B. What proportion of variability of number of presents received can be explained by the variability of number of penalties?
X | Y | XY | X² | Y² |
0 | 15 | 0 | 0 | 225 |
4 | 2 | 8 | 16 | 4 |
5 | 5 | 25 | 25 | 25 |
0 | 13 | 0 | 0 | 169 |
16 | 1 | 16 | 256 | 1 |
8 | 3 | 24 | 64 | 9 |
42 | 2 | 84 | 1764 | 4 |
1 | 80 | 80 | 1 | 6400 |
10 | 37 | 370 | 100 | 1369 |
Ʃx = | Ʃy = | Ʃxy = | Ʃx² = | Ʃy² = |
86 | 158 | 607 | 2226 | 8206 |
SSxx = Ʃx² - (Ʃx)²/n = 2226 - (86)²/9 = 1404.222222
SSyy = Ʃy² - (Ʃy)²/n = 8206 - (158)²/9 = 5432.222222
SSxy = Ʃxy - (Ʃx)(Ʃy)/n = 607 - (86)(158)/9 = -902.7777778
1.
Null and alternative hypothesis:
Ho: ρ = 0
Ha: ρ ≠ 0
2.
df = n-2 = 7
Critical value, t_c = T.INV.2T(0.05, 7) =+ 2.3646, + 2.3646
3.
Correlation coefficient, r = SSxy/√(SSxx*SSyy)
= -902.77778/√(1404.22222*5432.22222) = -0.3269
Test statistic :
t = r*√(n-2)/√(1-r²) = -0.3269 *√(9 - 2)/√(1 - -0.3269²) = -0.9151
4.
Fail to reject the null hypothesis.
5.
Conclusion:
There is enough evidence to conclude that there is a relationship between the number of penalties the Cleveland Browns players receive a year and the number of presents they receive for the holidays.
1B.
Coefficient of determination, r² = (SSxy)²/(SSxx*SSyy)
= (-902.77778)²/(1404.22222*5432.22222) = 0.1068
10.68% of variability of number of presents received can be explained by the variability of number of penalties.