Online MCQs Hypothesis Testing Statistics from Statistical Inference for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities. Let us start with the MCQs hypothesis Testing Statistics quiz.

Most of the MCQs on this page are covered from Estimate and Estimation, Testing of Hypothesis, Parametric and Non-Parametric tests, etc. MCQs Hypothesis Testing Statistics includes basics of testing of hypothesis for different comparison tests such as t-test, z-test, Anova, sign test, etc.

### MCQs Hypothesis Testing Statistics

- Parameters are those constants which occur in:
- The power of the test is related to:
- Homogeneity of several variances can be tested by:
- The equality of several normal population means can be tested by:
- The sign test assumes that
- The set of equations obtained in the process of least square estimation is called:
- Most of the Non-Parametric methods utilize measurements on:
- To test the randomness of a sample, the appropriate test is:
- With a lower significance level, the probability of rejecting a null hypothesis that is actually true:
- For a particular hypothesis test, $\alpha=0.05$, and $\beta=0.10$. The power of this test is:
- When the null hypothesis is accepted, it is possible that:
- Statistics are described as methods for concluding based on computed from the
.*_* - variable causes a change in variable and it is not possible that variable could cause a change in variable.
- Our best description of the situation in the US regarding undergraduate drinking is that we are 95% certain that between 31% and 38% of undergrads are allowed to drink legally.
- 56% of undergraduate students in the US are allowed to drink legally.
- Which of the following is an example of statistical inference
- Suppose the critical region for a certain test of hypothesis is for the form $F>9.48773$ and the computed value of $F$ from the data is $0.86$ the
- We use unplanned comparisons to determine
- The F-ratio is typically used to test differences between
- The null hypothesis in ANOVA asks whether