Pt2520 Unit 3 Assignment 2

2nd deliverable (1/3 of unit 1), due in week 26, 03/03/2015 by 23.59
Answer the following 4 questions, using about 200-250 words per question. Provide one example for each question (i.e., what can you test with the test etc.) to illustrate your answer. Why would you calculate t-tests?
Answer: - it allows you to compare statistics from 2 data populations and there means. This help to see if the 2 data population are significantly different from each other. A null hypothesis is used to test the difference between the 2 data populations and usually follow a normal distribution curve but the variances are unknown and are assumed to be equal. The test can then look at the t-statistic and t-distribution to determine a p-value that will validate or dispute the null hypothesis.
Example: - [1]say you want to test if people in Glasgow spend more money on clothes than people in Edinburgh over a period of one month. You could ask everyone in both locations but that would be impractical so instead you could take instance a sample of 100 people from both locations. You would then calculate the average for both locations say for example Edinburgh averaged at £180 and Glasgow averaged at £140. The t-test asks whether the difference is probably …show more content…
Entering the Chi Square distribution table with 1 degree of freedom and reading along the row we find our value of x^2 (3.418) lies between 2.706 and 3.841. The corresponding probability is between the 0.10 and 0.05 probability levels. That means that the p-value is above 0.05 (it is actually 0.065). Since a p-value of 0.65 is greater than the conventionally accepted significance level of 0.05 (i.e. p > 0.05) we fail to reject the null hypothesis. In other words, there is no statistically significant difference in the proportion of patients having a diagnosed related effect to the

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