A research study was conducted about gender differences in sexting, the sending of sexually explicit messages or images by cell phone. A researcher believes that the proportion of girls sexting is less than the proportion of boys sexting and decides to collect data in the spring of 2010 among a random sample of middle and high school students in a large school district in the southern United States. The researcher finds 156 out of 2,169 girls are sexting and 183 out of 2,231 boys are sexting. Is there enough evidence to support the researcher's belief that the proportion of girls sexting is less than the proportion of boys sexting? Test at the 0.1 level of significance. Preliminary: a. Is it safe to assume that ngirls 5% of all girls in middle and high school students in a large school district in the southern United States and nboys 5% of all boys in middle and high school students in a large school district in the southern United States? No Yes b. Verify np(1-p) > 10. Round your answer to one decimal place. ngirls (1-p)= nboys(1-p)= Test the claim:

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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A research study was conducted about gender differences in sexting, the sending of sexually explicit
messages or images by cell phone. A researcher believes that the proportion of girls sexting is less than the
proportion of boys sexting and decides to collect data in the spring of 2010 among a random sample of
middle and high school students in a large school district in the southern United States. The researcher
finds 156 out of 2, 169 girls are sexting and 183 out of 2,231 boys are sexting. Is there enough evidence to
support the researcher's belief that the proportion of girls sexting is less than the proportion of boys
sexting? Test at the 0.1 level of significance.
Preliminary:
a. Is it safe to assume that
ngirls 5% of all girls in middle and high school students in a large school district in the southern
United States and
nboys 5% of all boys in middle and high school students in a large school district in the southern
United States?
No
Yes
b. Verify np(1-p) ≥ 10. Round your answer to one decimal place.
ngirls (1-)=
nboys(1-2)=
Test the claim:
a. Determine the null and alternative hypotheses.
Ho: Patri
Ha: Pgirls
?Pboys
Pboys
?
b. The hypothesis test is
Select an answer
c. Determine the test statistic. Round to two decimal places.
d. Find the p-value. Round to four decimal places.
p-value =
e. Make a decision.
O Fail to reject the null hypothesis.
O Reject the null hypothesis.
Transcribed Image Text:A research study was conducted about gender differences in sexting, the sending of sexually explicit messages or images by cell phone. A researcher believes that the proportion of girls sexting is less than the proportion of boys sexting and decides to collect data in the spring of 2010 among a random sample of middle and high school students in a large school district in the southern United States. The researcher finds 156 out of 2, 169 girls are sexting and 183 out of 2,231 boys are sexting. Is there enough evidence to support the researcher's belief that the proportion of girls sexting is less than the proportion of boys sexting? Test at the 0.1 level of significance. Preliminary: a. Is it safe to assume that ngirls 5% of all girls in middle and high school students in a large school district in the southern United States and nboys 5% of all boys in middle and high school students in a large school district in the southern United States? No Yes b. Verify np(1-p) ≥ 10. Round your answer to one decimal place. ngirls (1-)= nboys(1-2)= Test the claim: a. Determine the null and alternative hypotheses. Ho: Patri Ha: Pgirls ?Pboys Pboys ? b. The hypothesis test is Select an answer c. Determine the test statistic. Round to two decimal places. d. Find the p-value. Round to four decimal places. p-value = e. Make a decision. O Fail to reject the null hypothesis. O Reject the null hypothesis.
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