Chapter
1
.
Comparing Two Population Means
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Stat Tutor
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Question 1
2:57
Question
1.1
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Correct. We use the difference between the two population means as the parameter for comparing the two means.
Incorrect. We use the difference between the two population means as the parameter for comparing the two means.
2
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Question 2
3:57
Question
1.2
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Correct. If µ
1
= µ
2
, then µ
1
– µ
2
= µ
2
– µ
2
= 0.
Incorrect. If µ
1
= µ
2
, then µ
1
– µ
2
= µ
2
– µ
2
= 0.
2
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Question 3
5:05
Question
1.3
P5HScT5OAQ9906vj746/Ux74xioodurdCg76qBBYnNXpy++ZKX1zml6ex5wNEC72jmfYeiRx/xmf728XnaSZ8HMemZDKjrpjIyonJzQUXhexrRAj+htdx4yb4tuNGaHaCZ0tGpUuC7hDp+o/F+cJkk37UR3koNRBdQHQxnlVgrygXPy76x4HKrv79fajfLKuN38NtKuxNjuT37GC
Correct. Because µ
1
= µ
2
implies that µ
1
– µ
2
= µ
2
– µ
2
= 0, these two hypotheses are mathematically equivalent.
Incorrect. Because µ
1
= µ
2
implies that µ
1
– µ
2
= µ
2
– µ
2
= 0, these two hypotheses are mathematically equivalent.
2
Try again.
Questions 4-5
5:48
Question
1.4
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Correct. A separate simple random sample should be taken from each population.
Incorrect. A separate simple random sample should be taken from each population.
2
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Question
1.5
tILX03GR5Thz01E0+HrvxBHNiRWEinTkfj2t7Ah564MN/9ds7lmjAeNaBngnHt4v9uJ6WPh02X/PoIEKJD+BdrixFy+tiDMTy6X4tMsQ664bcs0McOPUHkNw5SFxz3ah6FgxsEOJ5GZSsJT/HeddB0RqNJ2PU2xhnlZP+NHhKjWgQIj/RKkd6oNi5sN12biBEaICIAyhVe7p9/V0VdD/yH2GHolI560/M7zSnd/653+YbCT1U6qKwwo7UzAcg7Q2oj6Hc1cbGSdCOuJtUvE9/Nz37obVHa9+zBApQqsjydIvabrJ0pUGmhhvmOz+I77ps3dKqo3n8xgrF3OV8606blTxqJBh8w7/oTiyQi9TACn37/jeUo+rSTnvzfhUxaJvNlbmDaSoW7vL2/ZZvO5t7gXI+EFnk66Q
Correct. A completely randomized design with two treatments should be carried out. This involves randomly allocating subjects to the two treatments.
Incorrect. A completely randomized design with two treatments should be carried out. This involves randomly allocating subjects to the two treatments.
2
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Question 6
6:35
Question
1.6
nQm99YP+H0UYSG0CxCOYuoblS8lsgz2ZZobSMYdyo+5S8QAXdYZ9UcqJ24LjdESe4jMpz2FJyLUAGwUhsd6Ijhd2M+X/qbYzYilfYcaCVh7u2vQ0fz/IqxKAZdcUUVKg3PCkTueWQ3bJx6kmzAkxKygSO+9q6yyrckq3x5osd7+GgbIAeJutVl5n1u+kk4SGYmbu9zxUxgMdZp9eJNPPUkoLK0gR1yJLMemXufjUqQ/xQTtei+mITOuhjhLjCj9FRE70lzPxhrlOqtDDpRC/MkvYTzmXgbcsz7Dy2rq2F/M0crnmlQBM8RIPQlIO+NZfudgFic2pfoCkwg5VQ4CTBxyN89cXB3qggUeUkrFTFE7fJfC2qCymDGQb4q1n1jQ4l4jAIlV9LK3AS//74/mw0pHEwVuewLpE2drDeX7h2O9ZAu3A5K87TUi5vq55HUrD1Iu+rLHNFTUzsZ6hs23DwQ3vMHYOdkbbfS8lpQ==
Correct. To check for Normality, plot each set of data and check each for outliers.
Incorrect. To check for Normality, plot each set of data and check each for outliers.
2
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