Lucy wants to know how her fourth-grade daughter, Monica, scored on a test of reading comprehension compared to the population of other fourth graders in the school district. Luckily, Lucy has taken this course and knows that a z-score will help her understand Monica’s reading score in relation to the population.
Monica's reading comprehension score = 102, Mean 4th reading comprehension score = 109 standard deviation of the 4th grade's reading comprehension = 2.8 Monica's z-score in math = 1.3 Mean 4th grade math score= 218 Standard deviation of the 4th grades scores = 12.2
Given that
Monica's reading comprehension score = 102, Mean 4th reading comprehension score = 109 standard deviation of the 4th grade's reading comprehension = 2.8
so, x = 102, mu = 109 and sigma =2.8
z = (x-mu)/sigma
= (102-109)/2.8
= -7/2.8
= -2.5
We can see that the calculated z score for Monica's reading comprehension score is -2.5, which is outside the critical region of -1.96 and 1.96
So, we can reject the null hypothesis at 0.05 signficance level because z calculated value is in rejection region
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