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...

Extracted 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="" npoys="">< 5="" %="" of="" all="" boys="" in="" middle="" and="" high="" school="" students="" in="" a="" large="" school="" district="" in="" the="" southern="" united="" states?="" o="" no="" o="" yes="" b.="" verify="" np="" (1="" –="" p)=""> 10. Round your answer to one decimal place. NgirkP (1 – p) NipoysP (1 – p) = Test the claim: a. Determine the null and alternative hypotheses. Ho: Pgirls ? Pboys Ha: Pgirls 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 Reject the null hypothesis. O Fail to reject the null hypothesis.