Question

In: Statistics and Probability

Independent random samples from two normal distributions returned the values: Sample 1: 45, 78, 121, 45,...

Independent random samples from two normal distributions returned the values:
Sample 1: 45, 78, 121, 45, 67, 89, 95, 99, 79, 74
Sample 2: 67, 32, 67, 45, 21, 67, 89, 78, 77, 96, 94, 99
Find a 95% confidence interval for the difference in population means.

Solutions

Expert Solution

Answer:

The 95% confidence interval for the difference in population means is = ( -12.0663 , 31.79972 )

= ( -12.1 , 31.8 ) ... rounded to 1 decimal place

Explanation:

Here by considering that both the samples having equal variance, we use the independent sample t test to find  95% confidence interval for the difference in population means. ( We can check equality of variances of two samples by usinf F- test)

The 95% confidence interval for the difference in population means can be given by:

where   and   are sample means, n1 and n2 are sample sizes, Sp is pooled standard deviation and t is table value with (n1 +n2 -2) df

Sp is given as :

where s1^2 and s2^2 are sample variances

Now the summary statistics of two samples from excel ( we need sample means and sample variance that can also be calculared manually)

sample1 sample2
Mean 79.2 Mean 69.33333
Standard Error 7.454752 Standard Error 7.312643
Median 78.5 Median 72
Mode 45 Mode 67
Standard Deviation 23.574 Standard Deviation 25.33174
Sample Variance 555.7333 Sample Variance 641.697
Kurtosis -0.07293 Kurtosis -0.37501
Skewness 0.039448 Skewness -0.74227
Range 76 Range 78
Minimum 45 Minimum 21
Maximum 121 Maximum 99
Sum 792 Sum 832
Count 10 Count 12

Here S1^2 = 555.7333 and S2^2 = 641.679

hence

Sp = 24.556329

Now the 95% confidence interval is

Here = 79.2 and   = 69.3333 and t = 2.086 ( from table with alpha=0.05 and df = 20)

= ( -12.0663 , 31.79972 ) = ( -12.1 , 31.8 ) ... rounded to 1 decimal place

MINITAB output for reference:

Two-Sample T-Test and CI: sample1, sample2

Two-sample T for sample1 vs sample2

N Mean StDev SE Mean
sample1 10 79.2 23.6 7.5
sample2 12 69.3 25.3 7.3


Difference = μ (sample1) - μ (sample2)
Estimate for difference: 9.9
95% CI for difference: (-12.1, 31.8) # Our Answer
T-Test of difference = 0 (vs ≠): T-Value = 0.94 P-Value = 0.359 DF = 20
Both use Pooled StDev = 24.5563


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