What are the indicators for using a t-test? Create a research scenario in which it would be correct to use a t-test, including the research question, sample size, and dependent and independent variables.

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The indicators for using the T-test are that the T-test determine whether the means of two groups are statistically different from each other. This T-test is appropriate whenever you want to compare the means of two groups. The T-test will tell if the averages for two groups are statistically different. The formula for the t-test is a ratio. The top part of the ratio is jus the difference between the two means or averages. The bottom part is a measure of the variability or dispersion of the ...

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This t-test is appropriate whenever you want to compare the means of two groups. The t-test will tell if the averages for two groups are statistically different. The formula for the t-test is a ratio. The top part of the ratio is just the difference between the two means or averages. The bottom part is a measure of the variability or dispersion of the scores.

W. Bowen and T. Finegan (1965) published a paper titled "Labor Force Participation and Unemployment." In that paper they estimated the following regression using a data set of 78 cities:
i = 94.2 - .24Ui + .2Ei -.69Ii - .06Si + .002Ci - .8Di
(.08) (.06) (.16) (.18) (.03) (.43)
The standard errors for the OLS coefficient

1. Suppose you want to test the claim that the mean does not equal 3.5. Given a sample size of n = 31 and a level of significance of when should you reject H0 ?
a. Reject H0 if the standardized test statistic is greater than 2.33 or less than -2.33
b. Reject H0 if the standardized test statistic is greater than 1.645 or les

Heights were measured for a random sample of 20 plants grown while being treated with a particular nutrient. The sample mean and sample standard deviation of those height measurements were 39 centimeters and 12 centimeters, respectively.
Assume that the population of heights of treated plants is normally distributed with mea

Please help answer the following questions involving statistics.
1. Why do we use hypothesis testing?
2. What is a test statistic and how is it related to a critical value in hypothesis testing?
3. What is the critical region in hypothesis testing and why is it important?

1. Given the equation of a regression line is y=-2.5x-7.6, what is the best predicted value for y given x=4.1? Assume that the variables x and y have a significant correlation.
A. -2.65 B. 17.85 C. -17.85 D. 2.65
2. You wish to test the claim that the mean>23 at a level of significance of alpha=0.05 and are given sample

The first part of this Application is your analysis using SPSS. To conduct your quantitative analysis, use your course text,
(a) Selecting appropriate variables based on type (nominal, ordinal, or scale), calculate descriptive statistics. At the very least, calculate a mean, median, and standard deviation. Be sure to save

Consider the following hypothesis test: H0: mean greater than or equal to 5 vs. H1: mean < 5. Suppose that you take a sample and conduct the test. You conclude that you can reject the null hypothesis.
What can you say about the results of the hypothesis test: H0: mean = 5 vs. H1: mean not equal to 5 tested using the same

You are concerned about wait times at the cash registers in the supermarket. You collect data and have a sample size of 10, which test would you use a Z or a T test and why? What is the major difference between a Z and a T test. (hint sample size and variability)