Due Date Is Over
Due Date: 2026-02-16
Testing of Hypothesis
CASE STUDY 1: Sampling Distribution & Single Mean Test
(BT4 – Analyze)
A pharmaceutical company claims that the average weight of tablets produced is 500 mg. A random sample of tablets is selected from the production line to verify this claim.
Questions:
Identify the appropriate sampling distribution to be used in this situation.
Formulate the null and alternative hypotheses.
Explain the steps involved in testing the hypothesis when the sample size is large.
State the decision rule based on the level of significance.
Due Date Is Over
Due Date: 2026-02-16
Testing of Hypothesis
CASE STUDY 3: Difference of Means (Large Samples)
(BT4 – Analyze)
Two different teaching methods are adopted in two large classes. The management wants to know whether there is a significant difference in the average performance of students taught by these two methods.
Questions:
State the null and alternative hypotheses.
Identify the suitable statistical test.
Explain the procedure for testing the difference of means.
State the assumptions involved in this test.
Due Date Is Over
Due Date: 2026-02-16
Testing of Hypothesis
CASE STUDY 5: Test for Single Variance
(BT3 – Apply / BT4 – Analyze)
A manufacturer claims that the variance in the diameter of produced machine parts does not exceed a specified limit. A random sample is taken to verify this claim.
Questions:
Identify the distribution used for testing variance.
Frame the null hypothesis.
Explain the steps involved in testing the hypothesis.
Why is this test important in quality control?
