The accompanying table lists the "attribute" ratings made by a random sample of participants in a speed dating session. Each attribute rating is the sum of the ratings of five attributes (sincerity, intelligence, fun, ambition, shared interests). Use a 0.05 significance level to test the claim that there is a difference between female attribute ratings and male attribute ratings. Click the icon to view the data on attribute ratings. In this example, ud 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 rating of the male minus the rating of the female. What are the null and alternative hypotheses for the hypothesis test? Ho: Hd 0 H1: Hd # O (Type integers or decimals. Do not round.) Identify the test statistic. t= (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is the significance level, the null hypothesis. There sufficient evidence to support the claim that there is a difference between female attribute ratings and male attribute ratings. Next