5.20 High School and Beyond, Part I: The National Center of Education Statistics conducted a survey of high school seniors, collecting test data on reading, writing, and several other subjects. Here...



5.20 High School and Beyond, Part I: The National Center of Education Statistics conducted a survey of high school seniors, collecting test data on reading, writing, and several other subjects. Here we examine a simple random sample of 200 students from this survey. Side-by-side box plots of reading and writing scores as well as a histogram of the differences in scores are shown below.





(a) Are the reading and writing scores of each student independent of each other?




  • yes, they are paired since each student has both a reading score and a writing score

  • no, they are paired since each student has both a reading score and a writing score

  • yes, because reading and writing are two different activities


Correct






(b) Create hypotheses appropriate for the following research question: is there an evident difference in the average scores of students in the reading and writing exam?




  • Ho: μdiff = 0
    Ha: μdiff ≠ 0

  • Ho: μdiff = 0
    Ha: μdiff > 0

  • Ho: μdiff = 0
    Ha: μdiff <>


Correct






(c) The average observed difference in scores is x̄read - write = -0.545, and the standard deviation of the differences is 8.887 points. Do these data provide convincing evidence of a difference between the average scores on the two exams?
The test statistic is: Incorrect(please round to two decimal places)

The p-value is: Incorrect(please round to four decimal places)

The conclusion of the test is:




  • Since p<α we="" fail="" to="" reject="" the="" null="">

  • Since p ≥ α we do not have enough evidence to reject the null hypothesis

  • Since p<α we="" reject="" the="" null="" hypothesis="" and="" accept="" the="">

  • Since p ≥ α we accept the null hypothesis

  • Since p ≥ α we reject the null hypothesis and accept the alternative


Correct






(d) What type of error might we have made? Explain what the error means in the context of the application.




  • Fielding Error

  • Type I

  • Throwing Error

  • Type II


Correct






(e) Based on the results of this hypothesis test, would you expect a confidence interval for the average difference between the reading and writing scores to include 0? Explain your reasoning.




  • yes, because there is almost a 0% chance that average reading and writing scores are the same

  • no, because we rejected the idea that average reading and writing scores are equal

  • yes, because the evidence was not strong enough to suggest that average reading and writing scores differ

  • no, because most people will not earn an average score of 0 on either exam


Jun 11, 2022
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