In: Statistics and Probability
Home vs Road Wins – Significance Test: For the NHL regular season, the Chicago Blackhawks won 26 out of 41 home games and won 18 out of 41 away games. Clearly the Blackhawks won a greater proportion of home games. Here we investigate whether or not they did significantly better at home than on the road. The table summarizes the relevant data. The p̂'s are actually population proportions but you should treat them as sample proportions. The standard error (SE) is given to save calculation time if you are not using software.
Data Summary
number of | total number | Proportion of | |
Game Type | wins (x) | of games (n) | wins (p̂) |
Home | 26 | 41 | 0.63415 |
Road | 18 | 41 | 0.43902 |
SE = 0.11014
The Test: Test the claim that the proportion of wins at home was significantly greater than on the road. Use a 0.01 significance level.
(a) Letting p̂1 be the proportion of wins at home and p̂2 be the proportion of wins on the road, calculate the test statistic using software or the formulaz =
(p̂1 − p̂2) − δp |
SE |
where δp is the hypothesized
difference in proportions from the null hypothesis and the standard
error (SE) given with the data. Round
your answer to 2 decimal places.
z =
To account for hand calculations -vs- software, your answer
must be within 0.01 of the true answer.
(b) Use software or the z-table to get the P-value of the test
statistic. Round to 4 decimal places.
P-value =
(c) What is the conclusion regarding the null hypothesis?
reject H0fail to reject H0
(d) Choose the appropriate concluding statement.
The data supports the claim that the proportion of wins at home was significantly greater than on the road.While the proportion of wins at home was greater than on the road, the difference was not great enough to be considered significant. We have proven that the Blackhawks always do better at home games. We have proven there was no difference in the proportion of wins at home than wins on the road.
(a) The null and alternative hypothesis are:
; i.e., the the proportion of home wins and road wins for Chicago Blackhawks is not different.
; i.e., the the proportion of home wins for Chicago Blackhawks is greater than the road wins.
We need to test the hypothesis at the given significance level of
Test-statistic:
where,
; sample proportion of win in home
total number of home games.
sample proportion of win in road
total number of road games.
pooled proportion
Standard error is given in the question as SE= 0.11014
calculation for test-statistic:
The test-statistic is calculated as
(b) Since it is a right-tailed test, so the p-value is calculated as-
So, the p-value for the test-statistic is calculated as
(c) Conclusion:
Since,
(d) So at significance level the data does not provide enough evidence to support the alternative hypothesis H1 . Hence "we conclude that the proportion of wins at Home and at Road for the Blackhaws is not significantly different or we can say based on sample data there is no significant difference in the wins at Home and at Road for Blackhawks."