In: Statistics and Probability
The null and alternate hypotheses are:
H0 : μ1 =
μ2
H1 : μ1 ≠
μ2
A random sample of 10 observations from one population revealed a sample mean of 23 and a sample standard deviation of 3.5. A random sample of 4 observations from another population revealed a sample mean of 27 and a sample standard deviation of 3.6.
At the 0.01 significance level, is there a difference between the population means?
State the decision rule. (Negative values should be indicated by a minus sign. Round your answers to 3 decimal places.)
Compute the pooled estimate of the population variance. (Round your answer to 3 decimal places.)
Compute the test statistic. (Negative value should be indicated by a minus sign. Round your answer to 3 decimal places.)
a.
Two Tailed test:
Given Significance Level : = 0.01
/2 = 0.01/2=0.005
n1: Sample Size of Sample 1 | 10 |
n2 : Sample Size of Sample 2 | 4 |
: Sample Mean of Sample 1 | 23 |
: Sample Mean of Sample 2 | 27 |
s1: Sample Standard Deviation of Sample 1 | 3.5 |
s2: Sample Standard Deviation of Sample 2 | 3.6 |
Level of Significance | 0.01 |
Degrees of freedom : ( n1+n2-2=10+4-2=12) | 12 |
For two tailed test :
Critical values are : -t/2, t/2 : -t0.005 ,t0.005
For 12 degrees of freedom : t0.005 = 3.0545
Reject the null hypothesis if test statistic is < -3.0545 or test statistic > 3.0545
Fail to reject the null hypothesis if -3.0545 < test statistic < 3.0545
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a. Pooled estimate of population variance = pooled sample variance
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a. Test Statistic
Pooled Standard deviation :
Test Statistic = -1.918
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As Calculated Value is with in the Critical Values i.e.( -3.0545
< -1.9179 < 3.0545 )Fail To Reject Null Hypothesis
There is not sufficient evidence to conclude that there is a difference between the population means