The article "Freedom of What?" (Associated Press, February 1, 2005) described a study in which high school students and high schoolteachers were asked whether they agreed with the following statement: "Students should be allowed to report controversial issues intheir student newspapers without the approval of school authorities." Researchers hypothesized that the long-run proportion of highschool teachers who would agree with the statement would differ from the long-run proportion of high school students who wouldagree. 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 - 1000251Number of shuffles20Mean -0.000SD-0.007LUL0.024-0.026 -0,016 -0.006 0.004 0.014Shuffled diff in proportionsWhat 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 schoolteachers were asked whether they agreed with the following statement: "Students should be allowed to report controversial issues intheir student newspapers without the approval of school authorities." Researchers hypothesized that the long-run proportion of highschool teachers who would agree with the statement would differ from the long-run proportion of high school students who wouldagree. 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 - 1000251Number of shuffles20Mean -0.000SD-0.007LUL0.024-0.026 -0,016 -0.006 0.004 0.014Shuffled diff in proportionsWhat is the strength of evidence against observed study results happening by chance alone?

Question

The article &#34;Freedom of What?&#34; (Associated Press, February 1, 2005) described a study in which high school students and high schoolteachers were asked whether they agreed with the following statement: &#34;Students should be allowed to report controversial issues intheir student newspapers without the approval of school authorities.&#34; Researchers hypothesized that the long-run proportion of highschool teachers who would agree with the statement would differ from the long-run proportion of high school students who wouldagree. 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 - 1000251Number of shuffles20Mean -0.000SD-0.007LUL0.024-0.026 -0,016 -0.006 0.004 0.014Shuffled diff in proportionsWhat is the strength of evidence against observed study results happening by chance alone? The article &#34;Freedom of What?&#34; (Associated Press, February 1, 2005) described a study in which high school students and high schoolteachers were asked whether they agreed with the following statement: &#34;Students should be allowed to report controversial issues intheir student newspapers without the approval of school authorities.&#34; Researchers hypothesized that the long-run proportion of highschool teachers who would agree with the statement would differ from the long-run proportion of high school students who wouldagree. 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 - 1000251Number of shuffles20Mean -0.000SD-0.007LUL0.024-0.026 -0,016 -0.006 0.004 0.014Shuffled diff in proportionsWhat is the strength of evidence against observed study results happening by chance alone?

Accepted Answer

Here, we have to find the strength of evidence against observed study results happening by chance…

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.