Question 39 of 39
Q.
- The mean breaking strength of cables supplied by a manufacturer is 1,800 with a Standard Deviation 100. By a new technique in the manufacturing process, it is claimed that the breaking strength of the cables has increased. In order to test this claim a sample of 50 cables is tested. It is found that the mean breaking strength is 1,850. Can you support the claim at 0.01 level of significance ? OR
- Calculate the seasonal indices from the following data using Simple Average method.
| Year | I Quarter | II Quarter | III Quarter | IV Quarter |
|---|---|---|---|---|
| 2008 | 72 | 68 | 62 | 76 |
| 2009 | 78 | 74 | 78 | 72 |
| 2010 | 74 | 70 | 72 | 76 |
| 2011 | 76 | 74 | 74 | 72 |
| 2012 | 72 | 72 | 76 | 68 |
Tamil Nadu DgeTamil Nadu HSC (DGE) Commerce Board 2026Subjective· 5mImportance★★★★★
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Start your 14-day free trial to unlock the full solution →(a) Right-tailed -test: exceeds the critical value → reject , claim supported. (b) Quarter averages ; grand average ; indices .
Part (a) — Z-test for a single mean
Given , level .
Step 1 — Hypotheses (claim: strength increased):
Step 2 — Test statistic:
Step 3 — Decision. Critical value at (one-tailed) . Since calculated , we reject .
The sample gives strong evidence that the mean breaking strength has increased.
Part (b) — Seasonal indices by the simple-average method
Step 1 — Quarter totals and averages (5 years):
| Quarter | Total | Average |
|---|---|---|
| I | 372 | 74.4 |
| II | 358 | 71.6 |
| III | 362 | 72.4 |
| IV | 364 | 72.8 |
Step 2 — Grand (overall) average of the quarterly averages:
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