# Using Excel to Find Correlations

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Use Excel to do a correlation between the following variables:

1) X - 2,5,5,6,6,7,8,9

2) Y - 1,2,2,3,4,4,5,5

A drug company is measuring levels of oxygenation in patients after receiving a test medication. As the researcher, you are interested in whether Group I, which received the medication, has the same oxygenation levels as Group II, which did not.

1) Group 1: 2,3,3,4,4,7,8,9

2) Group 2: 1,2,2,3,4,4,5,5,6,8

Use Excel to run a t-test for two samples, assuming equal variances, with an alpha value of 0.05. Run the t-test and note:

1) Are you doing a one-tailed test or a two-tailed test (Excel will give you both)?

2) What is the probability that Group I is different from Group 2, using the p value? Is it significant against the benchmark of p < .05?

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##### Solution Summary

The expert uses Excel to find the correlation between variables.

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Please see the attached files; the first is written explanation and the next actual Excel workings. Good luck!

Question 1: Use Excel to do a correlation between the following variables:

1) X - 2,5,5,6,6,7,8,9

2) Y - 1,2,2,3,4,4,5,5

Solution: Using Excel, we get the following (see sheet 4)

Column 1 Column 2

Column 1 1

Column 2 0.962911 1

So, we can see that the correlation coefficient is R=0.962911. It appears that there is a strong positive relationship between X and Y.

Question 2: A drug company is ...

###### Education

- BSc , Wuhan Univ. China
- MA, Shandong Univ.

###### Recent Feedback

- "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
- "excellent work"
- "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
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