Question

In: Statistics and Probability

Two teaching methods and their effects on science test scores are being reviewed. A random sample...

Two teaching methods and their effects on science test scores are being reviewed. A random sample of 13 13 students, taught in traditional lab sessions, had a mean test score of 74.8 74.8 with a standard deviation of 4.3 4.3 . A random sample of 19 19 students, taught using interactive simulation software, had a mean test score of 87.3 87.3 with a standard deviation of 5.6 5.6 . Do these results support the claim that the mean science test score is lower for students taught in traditional lab sessions than it is for students taught using interactive simulation software? Let μ1 μ 1 be the mean test score for the students taught in traditional lab sessions and μ2 μ 2 be the mean test score for students taught using interactive simulation software. Use a significance level of α=0.05 α = 0.05 for the test. Assume that the population variances are equal and that the two populations are normally distributed. Step 1 of 4 : State the null and alternative hypotheses for the test.

Can u post all 4 steps ?

Solutions

Expert Solution

1) Hypothesis : H0 : mu1 = mu2 vs H1 : mu 1< mu2
2) Test Statistics = -6.7832
3) P value = 8e-8
4) Decision - Reject null hypothesis, P value < 0.05
5) Conclusion -Mean science test score is lower for students taught in traditional lab sessions than it is for students taught using interactive simulation software.

PL??


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