A study was performed to compare the variability of sulfur content of gasoline w
ID: 3322751 • Letter: A
Question
A study was performed to compare the variability of sulfur content of gasoline we buy from two producers Producer 1, & Producer 2). Analysis of 16 samples (bottles) from each producer shows that standard deviations are 1.52 and 1.38 for producers 1 and 2 respectively. Use =2%
A: Test the hypothesis that there is no difference in the variances of the pr oduct we purchase from the two producers.
B: suppose in real case, the standard deviation of producer 1 is 2.76. what is the probability of type 2 error. Determine power of the test
C. If in part b, you want to ha ve a power =0.9, what (equal) sample size we should use
Explanation / Answer
Test and CI for Two Variances
Method
Null hypothesis (First) / (Second) = 1
Alternative hypothesis (First) / (Second) 1
Significance level = 0.02
F method was used. This method is accurate for normal data only.
Statistics
98% CI for
Sample N StDev Variance StDevs
First 16 1.520 2.310 (1.065, 2.574)
Second 16 1.380 1.904 (0.967, 2.337)
Ratio of standard deviations = 1.101
Ratio of variances = 1.213
98% Confidence Intervals
CI for
CI for StDev Variance
Method Ratio Ratio
F (0.587, 2.067) (0.344, 4.273)
Tests
Test
Method DF1 DF2 Statistic P-Value
F 15 15 1.21 0.713
p-value = 0.713 > 0.05
hence we fail to reject the null hypothesis
b)
Power and Sample Size
Test for Two Standard Deviations
Testing (StDev 1 / StDev 2) = 1 (versus )
Calculating power for (StDev 1 / StDev 2) = ratio
= 0.02
Method: Levene’s Test
Sample
Ratio Size Power
2 16 0.464335
c)
Power and Sample Size
Test for Two Standard Deviations
Testing (StDev 1 / StDev 2) = 1 (versus )
Calculating power for (StDev 1 / StDev 2) = ratio
= 0.02
Method: Levene’s Test
Sample Target
Ratio Size Power Actual Power
2 39 0.9 0.906619
The sample size is for each group.
n1 =n2 = 39
b)
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