semester. After the semester is over these 121 students are given a reading comprehension test. Their mean score is 75.9 with a standard deviation of 5. Coincidentally, a principal of a different school in northwest Indiana conducts a similar study. This principle chose to use a larger sample of students and to analyze the results with a t-test. What impact does having a larger sample size have on the location of the critical t-value? A larger sample size would make the critical t-value of the second study be: Closer to zero. Further from zero The same as in the previous study
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The average score for Indiana public school 6th graders on a standardized reading comprehension test is µ = 75, and the distribution is normally shaped. A principal of one school in northwest Indiana wants to know if a new reading program improves scores compared to the Indiana population
mean . The principal takes a sample of 121 students and gives all of them the new reading program for one semester. After the semester is over these 121 students are given a reading comprehension test. Their mean score is 75.9 with a standard deviation of 5. Coincidentally, a principal of a different school in northwest Indiana conducts a similar study. This principle chose to use a larger sample of students and to analyze the results with a t-test. What impact does having a largersample size have on the location of the critical t-value? A larger sample size would make the critical t-value of the second study be:Closer to zero.
Further from zero
The same as in the previous study
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