Question

Home vs Road Wins – Significance Test: For the NHL regular season, the Chicago Blackhawks won...

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 '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 ()
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 0.05 significance level.

(a) Letting 1 be the proportion of wins at home and 2 be the proportion of wins on the road, calculate the test statistic using software or the formula

z =

(12) − 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 H0

fail 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.

Homework Answers

Answer #1

(a)

H0: Null Hypothesis: p1 p2 ( the proportion of wins at home was not significantly greater than on the road. )

HA:Alternative Hypothesis: p1 > p2 ( the proportion of wins at home was significantly greater than on the road. ) (Claim)

n1 = 41

1 =26/41 = 0.63415

n2 = 41

2 = 15/41 = 0.43902

Pooled Proportion is given by:

Test Statistic is given by:

Z = 1.77

(b)

By Technology, Cumulative Area Under Standard Normal Curve = 0.9618

p value = 1 - 0.9618 = 0.0382

p value = 0.0382

(c)

Correct option:

reject H0

(d)

Correct option:

The data supports the claim that the proportion of wins at home was significantly greater than on the road.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Gun Murders - Texas vs New York - Significance Test In 2011, New York had much...
Gun Murders - Texas vs New York - Significance Test In 2011, New York had much stricter gun laws than Texas. For that year, the proportion of gun murders in Texas was greater than in New York. Here we test whether or not the proportion was significantly greater in Texas. The table below gives relevant information. Here, the p̂'s are population proportions but you should treat them as sample proportions. The standard error (SE) is given to save calculation time...
Gun Murders - Texas vs New York - Significance Test In 2011, New York had much...
Gun Murders - Texas vs New York - Significance Test In 2011, New York had much stricter gun laws than Texas. For that year, the proportion of gun murders in Texas was greater than in New York. Here we test whether or not the proportion was significantly greater in Texas. The table below gives relevant information. Here, the p̂'s are population proportions but you should treat them as sample proportions. The standard error (SE) is given to save calculation time...
California had stricter gun laws than Texas. However, California had a greater proportion of gun murders...
California had stricter gun laws than Texas. However, California had a greater proportion of gun murders than Texas. Here we test whether or not the proportion was significantly greater in California. A significant difference is one that is unlikely to be a result of random variation. The table summarizes the data for each state. 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...
Absentee rates - Friday vs Wednesday: We want to test whether or not more students are...
Absentee rates - Friday vs Wednesday: We want to test whether or not more students are absent on Friday afternoon classes than on Wednesday afternoon classes. In a random sample of 302 students with Friday afternoon classes, 48 missed the class. In a different random sample of 307 students with Wednesday afternoon classes, 30 missed the class. The table below summarizes this information. The standard error (SE) is given to save calculation time if you are not using software. Data...
Absentee rates - Friday vs Wednesday: We want to test whether or not more students are...
Absentee rates - Friday vs Wednesday: We want to test whether or not more students are absent on Friday afternoon classes than on Wednesday afternoon classes. In a random sample of 302 students with Friday afternoon classes, 48 missed the class. In a different random sample of 307 students with Wednesday afternoon classes, 32 missed the class. The table below summarizes this information. The standard error (SE) is given to save calculation time if you are not using software. Data...
When games were sampled throughout a​ season, it was found that the home team won 116...
When games were sampled throughout a​ season, it was found that the home team won 116 of 153 baseball ​games, and the home team won 59 of 66 hockey games. The result from testing the claim of equal proportions are shown on the right. Does there appear to be a significant difference between the proportions of home​ wins? What do you conclude about the home field​ advantage? ​2-proportion test p 1 not equals p 2 z equals negative 2.30089323 p...
The Boomerang Generation refers to the recent generation of young adults who have had to move...
The Boomerang Generation refers to the recent generation of young adults who have had to move back in with their parents. In a 2012 survey, suppose 155out of 803 randomly selected young adults (ages 18–34) had to move back in with their parents after living alone. In a similar survey from the year 2000, suppose 282 out of 1824 young adults had to move back in with their parents. The table below summarizes this information. The standard error (SE) is...
Boomerang Generation: The Boomerang Generation refers to the recent generation of young adults who have had...
Boomerang Generation: The Boomerang Generation refers to the recent generation of young adults who have had to move back in with their parents. In a 2012 survey, suppose 160 out of 803 randomly selected young adults (ages 18–34) had to move back in with their parents after living alone. In a similar survey from the year 2000, suppose 294 out of 1824 young adults had to move back in with their parents. The table below summarizes this information. The standard...
Boomerang Generation: The Boomerang Generation refers to the recent generation of young adults who have had...
Boomerang Generation: The Boomerang Generation refers to the recent generation of young adults who have had to move back in with their parents. In a 2012 survey, suppose 160 out of 808 randomly selected young adults (ages 18–34) had to move back in with their parents after living alone. In a similar survey from the year 2000, suppose 288 out of 1814 young adults had to move back in with their parents. The table below summarizes this information. The standard...
Boomerang Generation: The Boomerang Generation refers to the recent generation of young adults who have had...
Boomerang Generation: The Boomerang Generation refers to the recent generation of young adults who have had to move back in with their parents. In a 2012 survey, suppose 160 out of 808 randomly selected young adults (ages 18–34) had to move back in with their parents after living alone. In a similar survey from the year 2000, suppose 294 out of 1834 young adults had to move back in with their parents. The table below summarizes this information. The standard...