Ackerman and Goldsmith (2011) found that students who studied text from printed hardcopy had better test scores than students who studied text presented on the screen. In a related study, a professor noticed that several students in a large class had purchased the e-book version of the course textbook. For the final exam, the overall average for the entire class was μ= 81.7, but the sample of n = 9 students who used e-books had a mean of M = 77.2 with ((SS =392) Is the sample sufficient to conclude that scores for students using e-books were sufficiently different from scores for the regular class? Use a two-tail test with α= .01.(not .05). Please answer the question using all of the steps presented on your practice problem assignment. (null in word, alternative in words, null in symbols, alternative in symbols, critic
Ackerman and Goldsmith (2011) found that students who studied text from printed hardcopy had better test scores than students who studied text presented on the screen. In a related study, a professor noticed that several students in a large class had purchased the e-book version of the course textbook. For the final exam, the overall average for the entire class was μ= 81.7, but the sample of n = 9 students who used e-books had a mean of M = 77.2 with ((SS =392)
Is the sample sufficient to conclude that scores for students using e-books were sufficiently different from scores for the regular class? Use a two-tail test with α= .01.(not .05).
Please answer the question using all of the steps presented on your practice problem assignment. (null in word, alternative in words, null in symbols, alternative in symbols, critical region t, df, all steps in the analysis computing your computed t, make a decision, and give a conclusion.
Provide steps in an orderly steps by step manner.
Problem solving template
n =
df =
M =
μ =
SS =
s2 =
sM
1. State the hypotheses and select alpha (consider one tailed or two tailed)
Sate hypothesis in words:
Null stated in words:
Alternative stated in words:
State hypothesis in symbols: Hₒ:
State alternative in symbols: H(square):
2. Locate critical region for stated alpha
3.Compute test statistic (t-score)
Sample variance s²:
Estimated standard error s(square):
Computed t statistic:
4. Make a decision about the null hypothesis and state a conclusion.
Decision: Are you going to reject the null or fail to reject the null
Conclusion: ex. The independent variable did or did not have a significant effect
Remember: if you reject there was significance
Step by step
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