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A book claims that more hockey players are born in January through March than in October through December. The following data show the number of players selected in a draft of new players for a hockey league according to their birth month. Is there evidence to suggest that hockey players' birthdates are not uniformly distributed throughout the year? Use the level of significance a = 0.01. Click the icon to view the table. What are the null hypothesis and alternative hypotheses? O A. Ho: The distribution of hockey players' birth months is uniformly distributed. H,: The distribution of hockey players' birth months is not uniformly distributed. O B. Ho: The distribution of hockey players' birth months is uniformly distributed. Hy: More hockey players are born in January-March than October-December. O C. Ho: The distribution of hockey players' birth months is uniformly distributed. Hy: More hockey players are born in the first half of the year than the second half. O D. Ho: The distribution of hockey players' birth months is not uniformly distributed. H,: The distribution of hockey players' birth months is uniformly distributed. Compute the expected counts for each birth month. The total number of hockey players is 167. Birth Month Observed Count Expected Count January-March 53 Birth months of players April-June 59 July-September 29 October-December 26 Hockey League Players' Birth Month Birth Month (Round to two decimal place January-March April-June July-September October-December Frequency 53 59 29 26 (s)What is the test statistic? = (Round to three decimal places as needed.) What is the P-value of the test? P-value = (Round to three decimal places as needed.) Based on the results, do the hockey league's players' birth months follow a uniform distribution? Use the level of significance a = 0.01. O A. No, because the calculated P-value is greater than the given a level of significance. O B. No, because the calculated P-value is less than the given a level of significance. O c. Yes, because the calculated P-value is greater than the given a level of significance. O D. Yes, because the calculated P-value is less than the given a level of significance