# hockey-probability-statistics-paper

The success average of a hockey player is the number of â€œpoints scoredâ€ divided by the number of â€œshots on goal.â€ Recently, a certain professional league playerâ€™s shots on goal and corresponding points scored were recorded for 400 consecutive games. The consecutive games span more than one season. Since each game is different, the number of shots and points scored both vary. For this particular player, there were from 0 to 15 shots. Thus, one can sort the more than 400 games into 16 categories:

0 shots
1 shot
2 shots
.
.
.
14 shots
15 shots

Consider the games where the player had exactly five shots on goal. A similar analysis can be done for each of the other shots category. Download the file titled Hockey. It contains a scatter plot of the Five Shots number of successes versus frequency. To compare the results to the Binomial Distribution, complete the following:

1. Explain why the five shots is a binomial experiment.
2. Using the Hockey scatter plot, construct a frequency distribution for the number of successes.
3. Compute the mean number of successes. The formula for the mean is .
Here, xi represent no. of successes (0, 1, 2, 3, 4, 5) and fi is the corresponding frequency. Explain what the numerical result means.
4. From the frequency distribution, construct the corresponding probability distribution. Explain why it is a probability distribution. Then, use Excel to make a scatter plot of the probability distribution:
Select the two columns of the probability distribution. Click on INSERT, and then go to the Charts area and select Scatter. Then choose the first Scatter chart (the one without lines connecting).
5. Using the frequency distribution, what is the playerâ€™s success average for five shots? In part 3, note that the numerator in the formula for the mean is the total number of successes. The total number of shots is the denominator of the formula for the mean multiplied by 5.
6. The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of â€œsuccessâ€ on each trial. Using Excel, construct the Binomial Probability Distribution for five trials, n, and probability of success, p, as the success average in part 5. Here is an explanation of the BINOM.DIST function (Links to an external site.)Links to an external site. in Excel
For example, In Excel
=BINOM.DIST(7,15,0.7,FALSE)
represents the probability of 7 successes out of 15 (n) trials. The 0.7 is the probability of success, p.
7. Using the formula for the mean of the binomial distribution, what is the mean number of successes in part 6 up above?
8. In Excel, make a scatter plot for the binomial distribution. The instructions for making one are in part 4 up above.
9. Use the results up above to compare the probability distribution of five shots and the Binomial Distribution. Compare the means in parts 4 and 6, too. If the probability distribution of five shots and the Binomial Distribution differ, explain why that is so.

Write a report that adheres to the Written Assignment Requirements under the heading â€œExpectations for CSU-Global Written Assignmentsâ€ found in the CSU-Global Guide to Writing and APA Requirements (Links to an external site.)Links to an external site.. As with all written assignments at CSU-Global, you should have in-text citations and a reference page. An example paper is provided in the MTH410 Guide to Writing with Statistics.