In: Statistics and Probability
Textile manufacturer, Joywill International, is trying to decide which vendor they should source for a yarn needed in one of their products. Vendor A has a lower price than Vendor B but the determining factor must be the mean breaking strength of the yarn.
Random samples were drawn from the vendors’ supply, with results shown below:
Vendor A |
Vendor B |
|
Sample size |
10 |
12 |
Sample mean |
105 |
98 |
Sample variance |
8 |
9 |
Do these data provide sufficient evidence that the mean yarn strength for Vendor A is the more than the mean yarn strength for Vendor B.
Perform the appropriate hypothesis test using a significance level of 0.05.
Do your work in an Excel file. Make Excel do the test statistic calculation.!!!!!!
using excel
we have
Pooled-Variance t Test for the Difference Between Two Means | |||
(assumes equal population variances) | |||
Data | |||
Hypothesized Difference | 0 | ||
Level of Significance | 0.05 | ||
Vendor A | |||
Sample Size | 10 | ||
Sample Mean | 105 | ||
Sample Standard Deviation | 2.828427 | ||
Vendor B | |||
Sample Size | 12 | ||
Sample Mean | 98 | ||
Sample Standard Deviation | 3 | Formula used | |
Intermediate Calculations | |||
Population 1 Sample Degrees of Freedom | 9 | B7-1 | |
Population 2 Sample Degrees of Freedom | 11 | B11-1 | |
Total Degrees of Freedom | 20 | B16+B17 | |
Pooled Variance | 8.5500 | ((B16*B9^2)+(B17*B13^2))/B18 | |
Standard Error | 1.2520 | SQRT(B19*(1/B7+1/B11)) | |
Difference in Sample Means | 7.0000 | B8-B12 | |
t Test Statistic | 5.5911 | (B21-B4)/B20 | |
Upper-Tail Test | |||
Upper Critical Value | 1.7247 | (TINV(2*B5,B18)) | |
p-Value | 0.0000 | TDIST(ABS(B22),B18,1) | |
Reject the null hypothesis |
since p-value of test statistic t is 0.000 which is less than 0.05 so we will not reject Ho and conclude that we have sufficient evidence that the mean yarn strength for Vendor A is the more than the mean yarn strength for Vendor B.