Question

can you do this project for me like use baseball and batting averages

or whatever you feel like using

Statistics project For this project you will be picking a topic and doing a hypothesis test for that topic. There will be five parts for this project. The four steps that I have outlined in the course, null and alternate hypothesis, check requirements, find the test statistic and p-value, and compare p-value and write a conclusion. The last part will include citing and printing your source of information. Part 1: Introduction Tell me what your topic is Why did you choose this topic; curiosity, personal reason, just because. What is the claim you are going to test? What type of hypothesis will you use to test this claim? Do you expect the data you find will support your claim? Describe the null and alternate hypothesis a. b. C. d. e. f. Check requirements Show me how the data you have found meets the requirements for the hypothesis test you are going to do. On your printed copy of your source highlight, underline, or box the details in survey methods that describe if the sample was random, independent, sample size, etc. Address any requirements that are not met and how that might affect the results of the test Part 2: a. b. C. Part 3: Test statistic and p-value Find the test statistic and p-value. Show me which formula should be used, even if you use the calculator to find it. Tell me the degrees of freedom if applicable. a. b. c. Part 4: Conclusion Do you reject or fail to reject the null hypothesis? Write a conclusion in context to your topic. a. Were you surprised or not surprised by the results, did your results match your expectations? Did you learn anything by doing this project? b. C. d. Part 5: Source Cite your source using either MLA or APA format a. Print your source and highlight any information you are using from the source. b. Each part will be worth 6 points.

we had to create our own problem

Answer 1

INTRODUCTION :

I am fan of star trek tv series. In that Star Trek series, those who wear red shirts have the reputation of dying more often that those who wear other color shirts. We’ll use this test to determine whether wearing the red shirt is the death!

Chi-Square Test of Independence

The Chi-square test of association assesses relationships between categorical variables. Chi-square test has both a null hypothesis and an alternative hypothesis.

• Null hypothesis: There are no relationships between the categorical variables.
• Alternative hypothesis: There are relationships between the categorical variables.

The Chi-square test of independence works by linking the distribution that you observe to the distribution that you expect if there is no relationship between the categorical variables. In the Chi-square background, the word “expected” is equivalent to what you’d expect if the null hypothesis is true. If your observed distribution is sufficiently different than the expected distribution (no relationship), you can reject the null hypothesis and conclude that the variables are related.

A p-value that is less than or equal to your significance level indicates there is sufficient evidence to conclude that the observed distribution is not the same as the expected distribution. You can conclude that a relationship exists between the categorical variables.

We will statistically assess whether there is a linking between uniform color and the death rate. (data is in CSV format named StarTrekFatalities. )

tabulated statistics	Actual count			tabulated statistics	Expected count
	alive	dead			alive	dead		for dead ppl
blue	129	7		blue	123.65	12.65		count<expected
gold	46	9		gold	49.88	5.12		count>expected
red	215	24		red	216.77	22.23		count=expected
		pearson chi square =6.189
		DF=2
		p value=0.045

In our statistical results, p-value is less than 0.05. We can reject the null hypothesis and conclude there is a relationship between shirt color and deaths.