What is the strength of evidence against observed study results happening by chance alone? O Very strong O Moderate O Weak O We cannot determine the strength of evidence from this plot.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The article "Freedom of What?" (Associated Press, February 1, 2005) described a study in which high school students and high school
teachers were asked whether they agreed with the following statement: "Students should be allowed to report controversial issues in
their student newspapers without the approval of school authorities." Researchers hypothesized that the long-run proportion of high
school teachers who would agree with the statement would differ from the long-run proportion of high school students who would
agree. Two random samples - 8,000 high school teachers and 10,000 high school students were selected from high schools in the U.S.
It was reported that 39% of the teachers surveyed and 58% of the students surveyed agreed with the statement.
A simulated null distribution of 1,000 differences in proportions created by using the Two Proportion applet is shown below.
Total shuffles - 1000
251
Number of shuffles
20
Mean -0.000
SD-0.007
LUL
0.024
-0.026 -0,016 -0.006 0.004 0.014
Shuffled diff in proportions
What is the strength of evidence against observed study results happening by chance alone?
Transcribed Image Text:The article "Freedom of What?" (Associated Press, February 1, 2005) described a study in which high school students and high school teachers were asked whether they agreed with the following statement: "Students should be allowed to report controversial issues in their student newspapers without the approval of school authorities." Researchers hypothesized that the long-run proportion of high school teachers who would agree with the statement would differ from the long-run proportion of high school students who would agree. Two random samples - 8,000 high school teachers and 10,000 high school students were selected from high schools in the U.S. It was reported that 39% of the teachers surveyed and 58% of the students surveyed agreed with the statement. A simulated null distribution of 1,000 differences in proportions created by using the Two Proportion applet is shown below. Total shuffles - 1000 251 Number of shuffles 20 Mean -0.000 SD-0.007 LUL 0.024 -0.026 -0,016 -0.006 0.004 0.014 Shuffled diff in proportions What is the strength of evidence against observed study results happening by chance alone?
The article "Freedom of What?" (Associated Press, February 1, 2005) described a study in which high school students and high school
teachers were asked whether they agreed with the following statement: "Students should be allowed to report controversial issues in
their student newspapers without the approval of school authorities." Researchers hypothesized that the long-run proportion of high
school teachers who would agree with the statement would differ from the long-run proportion of high school students who would
agree. Two random samples - 8,000 high school teachers and 10,000 high school students were selected from high schools in the U.S.
It was reported that 39% of the teachers surveyed and 58% of the students surveyed agreed with the statement.
A simulated null distribution of 1,000 differences in proportions created by using the Two Proportion applet is shown below.
Total shuffles - 1000
251
Number of shuffles
20
Mean -0.000
SD-0.007
LUL
0.024
-0.026 -0,016 -0.006 0.004 0.014
Shuffled diff in proportions
What is the strength of evidence against observed study results happening by chance alone?
Transcribed Image Text:The article "Freedom of What?" (Associated Press, February 1, 2005) described a study in which high school students and high school teachers were asked whether they agreed with the following statement: "Students should be allowed to report controversial issues in their student newspapers without the approval of school authorities." Researchers hypothesized that the long-run proportion of high school teachers who would agree with the statement would differ from the long-run proportion of high school students who would agree. Two random samples - 8,000 high school teachers and 10,000 high school students were selected from high schools in the U.S. It was reported that 39% of the teachers surveyed and 58% of the students surveyed agreed with the statement. A simulated null distribution of 1,000 differences in proportions created by using the Two Proportion applet is shown below. Total shuffles - 1000 251 Number of shuffles 20 Mean -0.000 SD-0.007 LUL 0.024 -0.026 -0,016 -0.006 0.004 0.014 Shuffled diff in proportions What is the strength of evidence against observed study results happening by chance alone?
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