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To find out whether a new serum will arrest leukemia, 11 mice, all with an advanced stage of the disease, are selected. Five mice receive the treatment and six do not. Survival times, in years, from the time the experiment commenced are as follows: Treatment      No treatment 2.1                     1.9 5.3                      0.5 1.4                      2.8 4.6                      3.1 0.9                       2                             3 At the 0.01 level of significance, can the serum be said to be effective? Assume the two populations to be normally distributed with equal variances.

To find out whether a new serum will arrest leukemia, 11 mice, all with an advanced stage of the disease, are selected. Five mice receive the treatment and six do not. Survival times, in years, from the time the experiment commenced are as follows: Treatment      No treatment 2.1                     1.9 5.3                      0.5 1.4                      2.8 4.6                      3.1 0.9                       2                             3 At the 0.01 level of significance, can the serum be said to be effective? Assume the two populations to be normally distributed with equal variances.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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To find out whether a new serum will arrest leukemia, 11 mice, all with an
advanced stage of the disease, are selected. Five mice receive the treatment and six
do not. Survival times, in years, from the time the experiment commenced are as
follows:
Treatment      No treatment
2.1                     1.9
5.3                      0.5
1.4                      2.8
4.6                      3.1
0.9                       2
                            3
At the 0.01 level of significance, can the serum be said to be effective? Assume the
two populations to be normally distributed with equal variances.

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