2. The mathematical Anxiety rating scale (MARS) measures an individual level of mathematical anxiety on a scale from 25 (no anxiety) to 100 (highest anxiety). A group of researcher administered the MARS to 50 students. One of the objectives of the study was to determine if there is a difference between levels of mathematical anxiety experience by male and female computer science students. | Gender Male 34.8 Female 47.2 n 10.6 24 | 12.4 | 26 At level of significance, is there evidence of a difference of the mean mathematical anxiety experienced by male and female computer science students? Solution: Step 1: State the hypotheses.

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2. The mathematical Anxiety rating scale (MARS) measures an individual level of
mathematical anxiety on a scale from 25 (no anxiety) to 100 (highest anxiety). A
group of researcher administered the MARS to 50 students. One of the objectives of
the study was to determine if there is a difference between levels of mathematical
anxiety experience by male and female computer science students.
|Gender
Male
S
34.8
|Female | 47.2
10.6
24
12.4
26
At level of significance, is there evidence of a difference of the mean mathematical
anxiety experienced by male and female computer science students?
Solution:
Step 1: State the hypotheses.
Step 2: The level of significance and the critical region. =
and
Step 3: Compute the value of t test.
Step 4: Decision rule.
Step 5: Conclusion.
Transcribed Image Text:2. The mathematical Anxiety rating scale (MARS) measures an individual level of mathematical anxiety on a scale from 25 (no anxiety) to 100 (highest anxiety). A group of researcher administered the MARS to 50 students. One of the objectives of the study was to determine if there is a difference between levels of mathematical anxiety experience by male and female computer science students. |Gender Male S 34.8 |Female | 47.2 10.6 24 12.4 26 At level of significance, is there evidence of a difference of the mean mathematical anxiety experienced by male and female computer science students? Solution: Step 1: State the hypotheses. Step 2: The level of significance and the critical region. = and Step 3: Compute the value of t test. Step 4: Decision rule. Step 5: Conclusion.
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