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Simulation Simulate drawing 100 simple random samples of

Chapter 6, Problem 36AYU

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QUESTION:

Simulation  Simulate drawing 100 simple random samples of size n = 15 from a population that is normally distributed with mean 100 and standard deviation 15 .

(a) Test the null hypothesis  \(H_0:\mu=100\) versus \(H_1:\mu \ne 100\) for each of the 100 simple random samples.

(b) If we test this hypothesis at the \(\alpha=0.05\) level of significance, how many of the 100 samples would you expect to result in a Type I error?

(c) Count the number of samples that lead to a rejection of the null hypothesis. Is it close to the expected value determined in part (b)?

(d) Describe how we know that a rejection of the null hypothesis results in making a Type I error in this situation.

Questions & Answers

QUESTION:

Simulation  Simulate drawing 100 simple random samples of size n = 15 from a population that is normally distributed with mean 100 and standard deviation 15 .

(a) Test the null hypothesis  \(H_0:\mu=100\) versus \(H_1:\mu \ne 100\) for each of the 100 simple random samples.

(b) If we test this hypothesis at the \(\alpha=0.05\) level of significance, how many of the 100 samples would you expect to result in a Type I error?

(c) Count the number of samples that lead to a rejection of the null hypothesis. Is it close to the expected value determined in part (b)?

(d) Describe how we know that a rejection of the null hypothesis results in making a Type I error in this situation.

ANSWER:

Step 1 of 5

We have to generate 100 simple random samples of normal distribution with mean 100 and std dev 15

From excel

> select data - random number generation

> normal - enter the size, mean and std dev

> ok

Some of the samples are

151.8368

89.61051

114.9899

105.4591

88.12779

113.9714

121.95

108.0325

115.7702

75.54064

112.0821

90.30686

133.3383

93.30242

104.4663

110.4245

133.1775

114.7628

117.9119

101.8654

105.9029

88.69077

112.8239

115.4176

91.17598

104.3944

75.96437

86.68292

101.1308

99.96615

117.0257

97.42452

102.4242

100.9111

107.4128

87.79685

88.10422

91.1637

77.54205

120.7646

109.2117

106.0495

-43.0511

72.2138

101.2044

84.31333

109.713

111.1876

84.22783

78.34695

122.0713

98.84853

128.6121

91.55248

97.02998

100.733

85.16059

123.5748

97.81264

72.66073

120.452

122.5534

101.148

84.42786

97.04517

105.3538

82.38654

87.19591

111.7393

87.30457

76.6437

110.388

122.7544

106.2429

90.05092

96.42828

123.6899

100.3047

93.00956

90.73697

84.18987

103.1141

116.9886

92.03758

122.9745

111.2164

99.22569

92.9263

104.7997

104.726

Mean = 100.6019 and std dev = 15.43

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