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Independent Sample t test using SPSS

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12. A college using a new method of teaching calculus wishes to evaluate the effectiveness of the method. A class of 24 first-year college students was randomly divided into two sections, one of which was taught using the new method and the other taught using the old method. Scores on the end-of-semester exam for the two groups of students are given below.

New 91 80 85 87 74 76 83 89 87 75 79 88
Old 86 78 80 83 72 75 82 76 84 72 74 87

(a) Write down the null and alternate hypotheses of interest. (1 point).
H0: μ(difference)=0
H1: μ(difference)≠0

(b) Enter the data into SPSS and carry out an appropriate hypothesis test. Report the table of means and standard deviations and the table of test results. (2 points)
t-Test: Two-Sample Assuming Equal Variances

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The p-value of the Levene's test statistics is bigger than 0.05, so we can say that the variances are equal for ...

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This solution is comprised of a detailed explanation of Independent Sample t test using SPSS. This solution mainly discussed the SPSS output and full interpretation of Independent Sample t test. The solution provides the interpretation of Levene's test statistics and the t test output

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Intrepeting Research - Independent Samples t-Test With SPSS

My assignment requires me to do a practice comparison of the means of two sample populations related to one particular variable. Using SPSS, I elected to do my population samples about gender: Female vs. males. The research was about which gender amongst the population researched make the highest income. I am having trouble reading/understanding/interpreting the results of the data. I have answered some of the questions but the following questions I am not sure of, can someone help me. The questions are below and a copy of the Output Results from SPSS is attached.

Questions:
State the statistical assumptions for this test.
Using the data set you have selected, select independent and dependent variables.
Develop the null and the alternative hypothesis.
Use the SPSS to calculate an independent-samples t-test.
Report on the p-value and the confidence interval.
Interpret the confidence interval.
Decide whether to reject or retain the null hypothesis.

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