For each group, calculate the sample size (N), mean ( X - ), and standard deviation (s). State the null and alternative hypotheses (Ho and H1). Make a decision about the null hypothesis. 1. Calculate the degrees of freedom (df). 2. Set alpha (a), identify the critical values (draw the distribution), and state a decision rule. 3. Calculate a value for the t-test for independent means. 4. Make a decision whether to reject the null hypothesis. 5. Determine the level of significance. Draw a conclusion from the analysis. What are the implications of this analysis for the teacher?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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A third-grade teacher is interested in comparing the effectiveness of two styles of instruction in language comprehension: imagery, in which the students are asked to picture a situation involving the word, and repetition, in which the students repeat the definition of the word multiple times. After 6 weeks of instruction, she gives the students a language comprehension test. The following scores are the number of correct answers for each student. Determine whether the two styles of instruction differ in their effectiveness.

Imagery: 12, 13, 11, 11, 13, 13, 15, 12, 9, 12 

Repetition: 6, 11, 10, 12, 9, 10, 11, 12, 10, 8

Answer the quetions in picture provided using above information. Thank you

For each group, calculate the sample size (N), mean ( X ), and standard
deviation (s).
State the null and alternative hypotheses (Ho and H1).
Make a decision about the null hypothesis.
1. Calculate the degrees of freedom (df).
2. Set alpha (a), identify the critical values (draw the distribution), and state
a decision rule.
3. Calculate a value for the t-test for independent means.
4. Make a decision whether to reject the null hypothesis.
Determine the level of significance.
Draw a conclusion from the analysis.
What are the implications of this analysis for the teacher?
Transcribed Image Text:For each group, calculate the sample size (N), mean ( X ), and standard deviation (s). State the null and alternative hypotheses (Ho and H1). Make a decision about the null hypothesis. 1. Calculate the degrees of freedom (df). 2. Set alpha (a), identify the critical values (draw the distribution), and state a decision rule. 3. Calculate a value for the t-test for independent means. 4. Make a decision whether to reject the null hypothesis. Determine the level of significance. Draw a conclusion from the analysis. What are the implications of this analysis for the teacher?
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