Calculate the value of the test statistic. (Round your answer to three decimal places.)Calculate the p-value. (Round your answer to four decimal places.)p-value =State your conclusion.O Reject H.. There is sufficient evidence to conclude that the mean score for the first round of a golf tournament is significantly different than the mean score for the fourth and final round.O Reject H.. There is insufficient evidence to conclude that the mean score for the first round of a golf tournament is significantly different than the mean score for the fourth and final round.O Do not Reject H,. There is sufficient evidence to conclude that the mean score for the first round of a golf tournament is significantly different than the mean score for the fourth and final round.O Do not reject H,. There is insufficient evidence to conclude that the mean score for the first round of a golf tournament is significantly different than the mean score for the fourth and final round.(b) What is the point estimate of the difference between the two population means? (Use mean score first round - mean score fourth round.)For which round is the population mean score lower?O The mean of the first round scores was lower than the mean of the fourth round scores.O The mean of the fourth round scores was lower than the mean of the first round scores.(c) What is the margin of error for a 90% confidence interval estimate for the difference between the population means? (Round your answer to two decimal places.)Could this confidence interval have been used to test the hypothesis in part (a)? Explain.O Yes. One could check to see if the 90% confidence interval includes a difference of 1. If the interval contains 1, the difference is not statistically significant.O Yes. One could check to see if the 90% confidence interval includes a difference of zero. If the interval contains 0, the difference is not statistically significant.O Yes. One could check to see if the 90% confidence interval includes a difference of 1. If the interval does not contain 1, the difference is not statistically significant.O Yes. One could check to see if the 90% confidence interval includes a difference of zero. If the interval does not contain 0, the difference is not statistically significant.O No. One can not use a confidence interval to test hypothesis in part (a) because hypothesis tests and confidence intervals are two different things. You may need to use the appropriate technology to answer this question.Scores in the first and fourth (final) rounds for a sample of 20 golfers who competed in golf tournaments are shown in the following table.FirstFinalFirstFinalPlayerRoundRoundPlayerRoundRoundGolfer 17072Golfer 117272Golfer 27172Golfer 127270Golfer 37074Golfer 137073Golfer 47271Golfer 147074Golfer 57069Golfer 156870Golfer 66767Golfer 166865Golfer 77167Golfer 177170Golfer 86872Golfer 187068Golfer 96772Golfer 196968Golfer 107069Golfer 206771Suppose you would like to determine if the mean score for the first round of a golf tournament event is significantly different than the mean score for the fourth and final round. Does the pressure of playing in the final round cause scores to go up? Or does the increasedplayer concentration cause scores to come down?(a) Use a = 0.10 to test for a statistically significantly difference between the population means for first- and fourth-round scores.State the null and alternative hypotheses. (Use u, = mean score first round - mean score fourth round.)O Ho: Hd>0O Ho: Hd = 0O Hoi Hd = 005 Pri :°H OO Ho: Hd#0Hai Hg= 0

The hypothesis test is a statistical method in which one using the sample data try to check the…

Scores in the first and fourth (final) rounds for a sample of 20 golfers who competed in golf tournaments are shown in the following table. First Final Round Round First Final Player Player Round Round Golfer 1 70 72 Golfer 11 72 72 Golfer 2 71 72 Golfer 12 72 70 Golfer 3 70 74 Golfer 13 70 73 Golfer 4 72 71 Golfer 14 70 74 Golfer 5 70 69 Golfer 15 68 70 Golfer 6 67 67 Golfer 16 68 65 Golfer 7 71 67 Golfer 17 71 70 Golfer 8 68 72 Golfer 18 70 68 Golfer 9 67 72 Golfer 19 69 68 Golfer 10 70 69 Golfer 20 67 71 Suppose you would like to determine if the mean score for the first round of a golf tournament event is significantly different than the mean score for the fourth and final round. Does the pressure of playing in the final round cause scores to go up? Or does the increase player concentration cause scores to come down? (a) Use a = 0.10 to test for a statistically significantly difference between the population means for first- and fourth-round scores. State the null and alternative hypotheses. (Use = mean score first round - mean score fourth round.) O Hoi Hq>0 0= Prt :°H O O Ho: Hg =0 O Hoi Hg so Hi Hg=0