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A new reading program may reduce the number of elementar school students who read below grade level. The company th developed this program supplied materials and teacher trainin for a large-scale test involving nearly 8,400 children in severa different school districts. Statistical analysis of the results showed that the percentage of students who did not meet the grade-level goal was reduced from 14.7% to 14%. The hypothesis that the new reading program produced no improvement was rejected with a P-value of 0.026. Complete parts a) and b) below. ... proportion of 14.7% (or more) of students failing the te by natural sampling variation if 14% is the true population value. OC. There is only a 2.6% chance of seeing a sample proportion of 14% (or less) of students failing the test natural sampling variation if 14.7% is the true population value. OD. There is only a 97.4% chance of seeing a sample proportion of 14% (or less) of students failing the test natural sampling variation if 14.7% is the true population value. b) Even though this reading program has been shown to be significantly better, why might you not recommend that your la school adopt it?

A new reading program may reduce the number of elementar school students who read below grade level. The company th developed this program supplied materials and teacher trainin for a large-scale test involving nearly 8,400 children in severa different school districts. Statistical analysis of the results showed that the percentage of students who did not meet the grade-level goal was reduced from 14.7% to 14%. The hypothesis that the new reading program produced no improvement was rejected with a P-value of 0.026. Complete parts a) and b) below. ... proportion of 14.7% (or more) of students failing the te by natural sampling variation if 14% is the true population value. OC. There is only a 2.6% chance of seeing a sample proportion of 14% (or less) of students failing the test natural sampling variation if 14.7% is the true population value. OD. There is only a 97.4% chance of seeing a sample proportion of 14% (or less) of students failing the test natural sampling variation if 14.7% is the true population value. b) Even though this reading program has been shown to be significantly better, why might you not recommend that your la school adopt it?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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K A new reading program may reduce the number of elementary school students who read below grade level. The company that developed this program supplied materials and teacher training for a large-scale test involving nearly 8,400 children in several different school districts. Statistical analysis of the results showed that the percentage of students who did not meet the grade-level goal was reduced from 14.7% to 14%. The hypothesis that the new reading program produced no improvement was rejected with a P-value of 0.026. Complete parts a) and b) below. proportion of 14.7% (or more) of students failing the test by natural sampling variation if 14% is the true population value. OC. There is only a 2.6% chance of seeing a sample proportion of 14% (or less) of students failing the test by natural sampling variation if 14.7% is the true population value. D. There is only a 97.4% chance of seeing a sample proportion of 14% (or less) of students failing the test by natural sampling variation if 14.7% is the true population value. b) Even though this reading program has been shown to be significantly better, why might you not recommend that your local school adopt it? A. Under the old methods, 1,176 students would be expected to fail. With the new program, 1,235 failed. The school would not want to adopt a new reading program that increases the number of students who fail. B. You might not recommend that your school adopt the new program because the sample was not chosen at random, thus compromising the results. OC. You might not recommend that your school adopt the new program because the sample size of the test was not large enough to come to a decision. D. Under the old methods, 1,235 students would be expected to fail. With the new program, 1,176 failed. This is only a decrease of 59 students. It would depend on the costs of switching to the new program.
Transcribed Image Text:K A new reading program may reduce the number of elementary school students who read below grade level. The company that developed this program supplied materials and teacher training for a large-scale test involving nearly 8,400 children in several different school districts. Statistical analysis of the results showed that the percentage of students who did not meet the grade-level goal was reduced from 14.7% to 14%. The hypothesis that the new reading program produced no improvement was rejected with a P-value of 0.026. Complete parts a) and b) below. proportion of 14.7% (or more) of students failing the test by natural sampling variation if 14% is the true population value. OC. There is only a 2.6% chance of seeing a sample proportion of 14% (or less) of students failing the test by natural sampling variation if 14.7% is the true population value. D. There is only a 97.4% chance of seeing a sample proportion of 14% (or less) of students failing the test by natural sampling variation if 14.7% is the true population value. b) Even though this reading program has been shown to be significantly better, why might you not recommend that your local school adopt it? A. Under the old methods, 1,176 students would be expected to fail. With the new program, 1,235 failed. The school would not want to adopt a new reading program that increases the number of students who fail. B. You might not recommend that your school adopt the new program because the sample was not chosen at random, thus compromising the results. OC. You might not recommend that your school adopt the new program because the sample size of the test was not large enough to come to a decision. D. Under the old methods, 1,235 students would be expected to fail. With the new program, 1,176 failed. This is only a decrease of 59 students. It would depend on the costs of switching to the new program.
A new reading program may reduce the number of elementary school students who read below grade level. The company that developed this program supplied materials and teacher training for a large-scale test involving nearly 8,400 children in several different school districts. Statistical analysis of the results showed that the percentage of students who did not meet the grade-level goal was reduced from 14.7% to 14%. The hypothesis that the new reading program produced no improvement was rejected with a P-value of 0.026. Complete parts a) and b) below. a) Explain what the P-value means in this context. Choose the correct answer below. OA. There is a 97.4% chance of seeing a sample proportion of 14.7% (or more) of students failing the test by natural sampling variation if 14% is the true population value. B. There is only a 2.6% chance of seeing a sample proportion of 14.7% (or more) of students failing the test by natural sampling variation if 14% is the true population value. OC. There is only a 2.6% chance of seeing a sample proportion of 14% (or less) of students failing the test by natural sampling variation if 14.7% is the true population value. D. There is only a 97.4% chance of seeing a sample proportion of 14% (or less) of students failing the test by natural sampling variation if 14.7% is the true population value. b) Even though this reading program has been shown to be significantly better, why might you not recommend that your local school adopt it? OA. Under the old methods, 1,176 students would be expected to fail. With the new program, 1,235 failed. The school would not want to adopt a new reading program that increases the number of students who fail. B. You might not recommend that your school adopt the new program because the sample was not chosen at random, thus compromising the results.
Transcribed Image Text:A new reading program may reduce the number of elementary school students who read below grade level. The company that developed this program supplied materials and teacher training for a large-scale test involving nearly 8,400 children in several different school districts. Statistical analysis of the results showed that the percentage of students who did not meet the grade-level goal was reduced from 14.7% to 14%. The hypothesis that the new reading program produced no improvement was rejected with a P-value of 0.026. Complete parts a) and b) below. a) Explain what the P-value means in this context. Choose the correct answer below. OA. There is a 97.4% chance of seeing a sample proportion of 14.7% (or more) of students failing the test by natural sampling variation if 14% is the true population value. B. There is only a 2.6% chance of seeing a sample proportion of 14.7% (or more) of students failing the test by natural sampling variation if 14% is the true population value. OC. There is only a 2.6% chance of seeing a sample proportion of 14% (or less) of students failing the test by natural sampling variation if 14.7% is the true population value. D. There is only a 97.4% chance of seeing a sample proportion of 14% (or less) of students failing the test by natural sampling variation if 14.7% is the true population value. b) Even though this reading program has been shown to be significantly better, why might you not recommend that your local school adopt it? OA. Under the old methods, 1,176 students would be expected to fail. With the new program, 1,235 failed. The school would not want to adopt a new reading program that increases the number of students who fail. B. You might not recommend that your school adopt the new program because the sample was not chosen at random, thus compromising the results.
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