Hockey Probability Statistics Paper

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The success average of a hockey player is the number of “points scored” divided by the number of “shots on goal.” Recently, a certain professional league player’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 shots1 shot2 shots…14 shots15 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:
Explain why the five shots is a binomial experiment. Using the Hockey scatter plot, construct a frequency distribution for the number of successes. 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. 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). Using the frequency distribution, what is the player’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. The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of “success” 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 ExcelFor 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. Using the formula for the mean of the binomial distribution, what is the mean number of successes in part 6 up above? In Excel, make a scatter plot for the binomial distribution. The instructions for making one are in part 4 up above. 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 “Expectations for CSU-Global Written Assignments” 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.

Submit your Excel file in addition to your report.

Requirements:
Paper must be written in third person. Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU-Global Library (Links to an external site.)Links to an external site. is a great place to find resources. Include a title page, introduction, body, conclusion, and a reference page. The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic. The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment. The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment. Document formatting, citations, and style should conform to the CSU-Global Virtual Library CSU-Global Guide to Writing and APA: Introduction (Links to an external site.)Links to an external site..
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I need support with this Statistics question so I can learn better.

1) Find the critical value zc that corresponds to a 95% confidence level.

2) Construct and Interpret Confidence Intervals for the Population Mean: A random sample of 40 students has a test score with x = 81.5 and s = 10.2. Construct the confidence interval for the population mean, μ if c = 0.90.

3) The standard IQ test has a mean of 101 and a standard deviation of 16. We want to be 98% certain that we are within 4 IQ points of the true mean. Determine the required sample size.

4) In order to efficiently bid on a contract, a contractor wants to be 95% confident that his error is less than two hours in estimating the average time it takes to install tile flooring. Previous contracts indicate that the standard deviation is 4.5 hours. How large a sample must be selected?

5) Find the critical value, tc for c = 0.99 and n = 10.

6) When 435 college students were surveyed,120 said they own their car. Find a point estimate for p, the population proportion of students who own their cars.

7) A survey of 400 non-fatal accidents showed that 189 involved the use of a cell phone. Find a point estimate for p, the population proportion of non-fatal accidents that involved the use of a cell phone.

8) A survey of 250 homeless persons showed that 17 were veterans. Find a point estimate p, for the population proportion of homeless persons who are veterans.

9) Construct a 95% confidence interval for the population standard deviation σ of a random sample of 15 men who have a mean weight of 165.2 pounds with a standard deviation of 13.5 pounds. Assume the population is normally distributed.

10) A student randomly selects 10 CDs at a store. The mean is $13.75 with a standard deviation of $1.50. Construct a 95% confidence interval for the population standard deviation, σ.

11) Determine the sampling error if the grade point averages for 10 randomly selected students from a class of 125 students has a mean of x = 1.8. Assume the grade point average of the 125 students has a mean of μ = 2.4.

12) A random sample of 120 students has a test score average with a standard deviation of 9.2. Find the margin of error if c = 0.98Statcrunch quiz- 14 questions: nursing case study help
Can you help me understand this Mathematics question?

I need you to do my quiz and someone else’s (they both should be identical). Must know how to use statcrunch

Instructions

You may use your book, notes, &c. and you will need to use StatCrunch. So have StatCrunch ready to go in another window. (You will use a data set from the textbook as well as having to input a small data set.)

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You have 35 minutes for 14 questions.

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