Hey tutors please help me answer these questions.

Question #1) The Lawnpoke Golf Association (LGA) has established rules that manufacturers of golf equipment must meet for their products to be acceptable for LGA events. BatOutHell Balls uses a proprietary process to produce balls with a mean distances of 295 yards. BallOutaHell is concerned that if the mean distance falls below 295 yards, the word will get out and sales will sag. Further, if the mean distance exceeds 295 yard, their balls may be rejected in DATA by LGA. Measurements of the distances are recorded in DATA below. AT alpha = 0.05, test the no action hypothesis that the ball have a mean distance of 295 yards.

Yards

290

272

277

287

274

305

288

297

307

284

272

280

293

279

303

295

292

289

279

Question #2) An Air Quality instrument logs 0 when standards are not met and 1 when standards are met. The log is saved to file DATA below. First, compute the proportion meeting standards as mean of AIR QUALITY VALUES. second, at alpha = 0.10 (sensitive, exploratory), test the hypothesis thaT PROPORTION of times that air quality meets standards is at least 90%.

Time Air Quality

0:00:00 1

0:00:30 1

0:01:00 0

0:01:30 1

0:02:00 1

0:02:30 1

0:03:00 0

0:03:30 1

0:04:00 1

0:04:30 1

0:05:00 1

0:05:30 0

0:06:00 1

0:06:30 1

0:07:00 1

0:07:30 1

0:08:00 1

0:08:30 1

0:09:00 1

0:09:30 1

0:10:00 1

0:10:30 1

0:11:00 1

0:11:30 1

0:12:00 1

0:12:30 1

0:13:00 1

0:13:30 0

0:14:00 0

0:14:30 1

0:15:00 1

0:15:30 1

0:16:00 1

0:16:30 1

0:17:00 1

0:17:30 0

0:18:00 0

0:18:30 0

0:19:00 1

0:19:30 1

0:20:00 1

0:20:30 1

0:21:00 1

0:21:30 0

0:22:00 1

0:22:30 1

0:23:00 0

0:23:30 1

Hint: please compute the mean in 4 decimal place accuracy.

Question #3) To balance inventory at Otto's Optometry, customer Gender and eye condition collected in DATA below. Make a 2 X 2 Pivot Table with Gender in rows and Eye Condition in columns.

Customer Eye Condition Gender

1 Bifocals Female

2 Bifocals Male

3 Nearsighted Male

4 Nearsighted Female

5 Nearsighted Female

6 Nearsighted Female

7 Bifocals Female

8 Nearsighted Female

9 Bifocals Female

10 Farsighted Male

11 Nearsighted Female

12 Bifocals Male

13 Nearsighted Male

14 Nearsighted Female

15 Nearsighted Male

16 Farsighted Male

17 Nearsighted Female

18 Farsighted Male

19 Farsighted Male

20 Farsighted Male

21 Farsighted Male

22 Bifocals Male

23 Nearsighted Female

24 Bifocals Female

25 Nearsighted Male

26 Bifocals Female

27 Bifocals Female

28 Bifocals Female

29 Nearsighted Male

30 Nearsighted Female

31 Bifocals Male

32 Nearsighted Male

33 Bifocals Female

34 Nearsighted Female

35 Farsighted Male

36 Bifocals Female

37 Bifocals Male

38 Nearsighted Male

39 Nearsighted Male

40 Farsighted Male

41 Bifocals Male

42 Nearsighted Female

43 Farsighted Male

44 Nearsighted Male

45 Nearsighted Female

46 Farsighted Male

47 Bifocals Male

48 Bifocals Female

49 Nearsighted Female

50 Farsighted Male

51 Farsighted Male

52 Bifocals Female

53 Bifocals Female

54 Nearsighted Male

55 Nearsighted Male

56 Nearsighted Female

57 Nearsighted Female

58 Nearsighted Male

59 Farsighted Male

60 Nearsighted Male

61 Nearsighted Male

62 Bifocals Male

63 Nearsighted Female

64 Farsighted Male

65 Nearsighted Male

66 Bifocals Male

67 Bifocals Female

68 Nearsighted Female

69 Nearsighted Female

70 Nearsighted Female

71 Farsighted Male

72 Nearsighted Female

73 Bifocals Male

74 Bifocals Female

75 Bifocals Female

76 Farsighted Female

77 Farsighted Female

78 Farsighted Female

79 Farsighted Female

80 Farsighted Female

81 Farsighted Female

82 Farsighted Female

83 Farsighted Female

84 Farsighted Female