I need help on how to use Stat Crunch to find the confidence level.

The "Freshman 15" refers to the belief that college students gain 15 lb (or 6.8 kg) September 74 55 68 70 37 80 51 57 42 a during their treshman year. Listed in the aocompanying table are weights (kg) of April 78 60 64 68 88 82 54 61 49 randomly selected male college freshmen. The weights were measured in September and later in April. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a __ distribution that is approximately normal. Complete parts (a) through (c). H a. Use a 0.01 signicance 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, ud is the mean value of the differences d for the population of all pairs of data, where each individual difference (:1 is defined as the April weight minus the September weight. What are the null and alternative hypotheses for the hypothesis test? ' H0: pd = 0 kg H141d >' 0' kg (Type integers or decimals. Do not round.) Identify the test statistic. t= 1.93' (Round to two decimal places as needed.) Identify the P-value. P-value = 0.045 (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is greaterthan the significance level, do not reject the null hypothesis. There is not sufficient evidence to support the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April. b. Construct the condence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The condence interval is 1.1' kg