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? ( )no, they are paired since each student has both a reading score and a writing score ( )yes, they are paired since each student has both a reading score and a writing score ( )yes, because reading and writing are two different activities (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 > 0 (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:__________  (please round to two decimal places) The p-value is: ( )between .05 and .1 ( )between .01 and .05 ( )less than .01 ( )greater than .1 (please round to four decimal places) The conclusion of the test is: ( )Since p<α we reject the null hypothesis and accept the alternative ( )Since p ≥ α we accept the null hypothesis ( )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 alternative ( )Since p<α we fail to reject the null hypothesis

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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?

  • ( )no, they are paired since each student has both a reading score and a writing score
  • ( )yes, they are paired since each student has both a reading score and a writing score
  • ( )yes, because reading and writing are two different activities



(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 > 0



(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:__________  (please round to two decimal places)


The p-value is:

  • ( )between .05 and .1
  • ( )between .01 and .05
  • ( )less than .01
  • ( )greater than .1

(please round to four decimal places)


The conclusion of the test is:

  • ( )Since p<α we reject the null hypothesis and accept the alternative
  • ( )Since p ≥ α we accept the null hypothesis
  • ( )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 alternative
  • ( )Since p<α we fail to reject the null hypothesis

 

80-
60
40
20
read
write
40
30
20
10
-20
-10
10
20
Differences in scores (read – write)
Scores
Transcribed Image Text:80- 60 40 20 read write 40 30 20 10 -20 -10 10 20 Differences in scores (read – write) Scores
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