[Statistics] Obtaining test statistic in short problem

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  • #1
ozill
3
0
Hey everyone! Exam practice, that time of year. In this problem 13 with correct answer C, I'm not sure how they get the test statistic: http://i.imgur.com/doar3.jpgI think they want you to use a F-test, that tests the entire model, which is calculated by: F= ((R^2)/ K)/ ((1 - R^2)/(n-K-1)) where K is the number of independent variables (3 in this question)

Then the R square is the percentage of the model that is explained, so the explained variation in Y / total variation in Y

R^2 = SSR / (SSE+SSR)
SSR= sum of squared regression, SSE=sum of squared errors

Thanks for any help or insight!
Many thanks
 
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  • #2
I think they are doing a contingency table with a chi-square statistic.
 
  • #3
Right, but I'm still at a loss! :)
 
  • #4
Well, how many people in each of the three categories would expect, based on the predicted percentages? And how many were actually surveyed?
 
  • #5
Hey, thanks for helping!

It's a sample of 120 people, so n=120
So in this sample : 60 workers, 30 students, 30 retirees
 
  • #6
ozill said:
Hey, thanks for helping!

It's a sample of 120 people, so n=120
So in this sample : 60 workers, 30 students, 30 retirees

That was not the question. The question was: how many would you EXPECT in each group if the predicted percentages held true?

RGV
 

Related to [Statistics] Obtaining test statistic in short problem

1. What is a test statistic in statistics?

A test statistic is a numerical value that is calculated from a sample of data and is used to make decisions about the population from which the sample was taken. It is typically used in hypothesis testing to determine the likelihood of observing a certain result under the null hypothesis.

2. How do you obtain a test statistic in a short problem?

To obtain a test statistic in a short problem, you first need to have a clear understanding of the problem and the data that is provided. Then, you need to choose an appropriate statistical test based on the type of data and the research question being investigated. Next, you need to calculate the test statistic using a formula or statistical software. Finally, you can compare the test statistic to a critical value or p-value to determine the significance of the results.

3. What factors influence the choice of test statistic in a short problem?

The choice of test statistic in a short problem depends on several factors, including the type of data (e.g. continuous, categorical), the research question being investigated, the sample size, and the assumptions of the test. It is important to choose a test that is appropriate for the data and research question to ensure accurate and meaningful results.

4. How do you interpret the test statistic in a short problem?

The interpretation of the test statistic in a short problem depends on the specific test being used. In general, a larger test statistic indicates a stronger evidence against the null hypothesis, and a smaller test statistic indicates weaker evidence. The interpretation also depends on the chosen significance level and critical value or p-value, which determine the level of confidence in the results.

5. Can a test statistic be used to make conclusions about the entire population?

No, a test statistic is only used to make conclusions about the population from which the sample was taken. It is not possible to make generalizations about the entire population based on a single sample and its test statistic. However, if the sample is representative of the population and the test is appropriately chosen and conducted, the results can provide valuable insights into the population.

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