having isses finding number 6

Question 1 0 I 1 point Racquet Spinning Atennis racquet is spun 100 times, landing with the label facing up 47 times and the label facing down 53 times. Perform a test of whether or not a spun tennis racquet would notland up 50% of the time in the long run. a. Report the p-value, and indicate whether or not you would reject the null hypothesis at the 0.05 level. Round your p-value to 4 decimal places. p-value = ___ Answer: Question 2 0 I 1 point Based on this p-value, what decision would you make at the a = 0 05 level? - Because the p-value is smaller than 0.05, we accept the null hypothesis - Because the p-value is larger than 0.05, we accept the null hypothesis - Because the p-value is larger than 0.05, we reject the null hypothesis - Because the p-value is larger than 0.05, we fail to reject the null hypothesis - Because the p-value is smaller than 0.05, we fail to reject the null hypothesis - Because the pvalue is smaller than 0.05, we reject the null hypothesis B Announcements - x B Exercise 17-18 - N X @ 17.18 - MATH_115 X R Message. Video. | x Q Sign In * *Course Hero x M Your order 521-15 x Sign in - RingCen X + prairiestate.desire2learn.com/d21/le/content/110226/viewContent/1555908/View K Based on this test, we have no way of saying whether the racquet would land "up" 50% of the time in the long run. The test does not indicate that the racquet would definitely land "up" 50% of the time in the long run. We have eliminated the possibility that it does this. The test does indicate that the racquet would definitely land "up" 50% of the time in the long run. Question 4 0 / 1 point c. What is the smallest significance level at which you would reject the null hypothesis? [Hint: Do not confine your consideration to common O levels.] Round your answer to four decimal places. Answer: 0.4515 Question 5 0 / 1 point d. Explain precisely how your analysis would change depending if you worked with the proportion landing down instead of the proportion landing up You would use Too for the sample proportion . This will not change the p-value or the conclusion. You would use 50 100 for the sample proportion p. This will change the p-value and the conclusion. You would use 700 for the sample proportion . This will change the p-value and the conclusion. You would use 700 for the sample proportion . This will not change the p-value or the conclusion. You would use 700 for the sample proportion . This will change the p-value and the conclusion