How can I answer all parts to this question pls? Pls zoom in to view question clearly.

A figure skater tried various approaches to her Salchow jump in a designed experiment using five different places for her focus (arms, free leg, midsection, takeoff leg, and free). She tried each jump 5 times in random order, using two of her skating partners to judge the jumps on a scale of 0 to 6. The average of the two scores for each jump is the response variable. After collecting the data and analyzing the results, she reports that the F-ratio is 6.76. Complete parts a) through d). a) What are the null and alternative hypotheses? O A. HO: H1 = H2 = H3 = H4 = H5; HA: H1 # H2 # H3 # H4 # 15 O B. Ho: The means are not all equal. HA: H1 = H2 = H3 = H4 = H5 O C. Ho: H1 = H2 = H3 = H4 = H5 HA: The means are not all equal. b) How many degrees of freedom does the treatment sum of squares have? How about the error sum of squares? The treatment sum of squares has degrees of freedom. (Type a whole number.) The error sum of squares has degrees of freedom. (Type a whole number.) c) Assuming that the conditions required for ANOVA are satisfied, what is the P-value? What would you conclude at a level of significance of a = 0.05? P-value = (Round to four decimal places as needed.) State the conclusion. Assume a = 0.05. Choose the correct answer below. O A. Fail to reject the null hypothesis. There is sufficient evidence to conclude that not all of the various approaches produce the same mean score. O B. Reject the null hypothesis. There is sufficient evidence to conclude that not all of the various approaches produce the same mean score. O C. Fail to reject the null hypothesis. There is insufficient evidence to conclude that not all of the various approaches produce the same mean score. D. Reject the null hypothesis. There is insufficient evidence to conclude that not all of the various approaches produce the same mean score. d) What else about the data would you like to see in order to check the assumptions and conditions? What else would you need to see in order to check the Randomization Condition? A. A plot of the predicted values against the standardized predicted values should be used to check the Randomization Condition. O B. A side-by-side boxplot of the samples should be used to check the Randomization Condition. O C. A normal probability plot of the residuals should be used to check the Randomization Condition. O D. The Randomization Condition is satisfied based on the given information. What else would you need to see in order to check the Equal Variance Assumption? O A. A side-by-side boxplot of the samples should be used to check the Equal Variance Assumption. O B. A plot of the predicted values against the standardized predicted values should be used to check the Equal Variance Assumption. O C. A normal probability plot of the residuals should be used to check the Equal Variance Assumption. O D. The Equal Variance Assumption is satisfied based on the given information.What else would you need to see in order to check the Equal Variance Assumption? 0 A. A side-by-side boxplot of the samples should be used to check the Equal Variance Assumption. 0 B. A plot of the predicted values against the standardized predicted values should be used to check the Equal Variance Assumption. 0 C. A normal probability plot of the residuals should be used to check the Equal Variance Assumption. 0 D. The Equal Variance Assumption is satised based on the given information. What else would you need to see in order to check the Nearly Normal Condition? 0 A. A side-by-side boxplot of the samples should be used to check the Nearly Normal Condition. 0 B. A plot of the predicted values against the standardized predicted values should be used to check the Nearly Normal Condition. 0 C. A normal probability plot of the residuals should be used to check the Nearly Normal Condition. 0 D. The Nearly Normal Condition is satised based on the given information