Answer Happy

e Freshman 15 refers to the belief that college students gain 15 lb (or 6.8 kg) during their freshman year sted in the accompanying table are weights (kg) of randomly selected male college freshmen. The weights were easured in September and later in April. Use the listed paired sample data, and assume that the samples are imple random samples and that the differences have a distribution that is approximately normal. Complete parts a) through (c) H₁ kg (Type integers or decimals Do not round) Identify the test statistic KITE 11.34 (Round to two decimal places as needed) idently the P-vale Pivalis 10 Hound to three decimal places as needed) September April a. Use a 001 significance level to test the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April In this example, is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the April weight minus the September weight. What are the null and atten hypotheses for the hypothesis test? 59 87 64 65 64 97 67 69 88 66 68 68 86 66 69 82 62
What is the conclusion based on the hypothesis est? Since the P-value is greater than the significance level, do not reject the nul hypothesis. There is not sufficient evidence to support the claim that for the population of freshman male college students, the wights in September are less than the weights in the following April b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conduced in part ( The confidence interval is 13<53 (Type integers or decimals rounded to one decimal place as needed) What feature of the confidence interval leads to the same conclusion reached in part (a? do not reject H Because the confidence interval indudes 010 What do you conclude about the Freshman 15 belle? The last does not address the speciic weight gain of 15 b, but does suggest that there is cent evidence le conclude t RAN