The post is about MCQs Hypothesis Testing. There are 20 multiple-choice questions covering topics related to the basics of hypothesis testing, assumptions about one sample, two samples, and more than two sample mean comparison tests, significance level, null and alternative hypothesis, test statistics, sample size, critical region, and decision. Let us start with MCQs Hypothesis Testing Quiz.

Online MCQs about Hypothesis Testing with Answers

### MCQs Hypothesis Testing with Answers

- $1 â€“ \alpha$ is the probability of
- A parameter is a ———- quantity
- If we reject the null hypothesis, we might be making
- Herbicide A has been used for years in order to kill a particular type of weed. An experiment is to be conducted in order to see whether a new herbicide, Herbicide B, is more effective than Herbicide A. Herbicide AÂ will continue to be used unless there is sufficient evidence that Herbicide B is more effective. The alternative hypothesis in this problem is
- Analysis of Variance (ANOVA) is a test for equality of
- Which of the following is an assumption underlying the use of the t-distributions?
- ForÂ t distribution, increasing the sample size, the effect will be on
- The t distributions are
- Condition for applying the Central Limit Theorem (CLT) which approximates the sampling distribution of the mean with a normal distribution is?
- Which of the following is a true statement, for comparing the t distributions with standard normal,
- What is the probability of a type II error when $\alpha=0.05$?
- The critical value of a test statistic is determined from
- The null hypothesis is a statement that is assumed to be true unless there is convincing evidence to the contrary. The null hypothesis typically assumes that observed data occurs by chance.
- The ——– typically assumes that observed data does not occur by chance.
- Which of the following statements describes the significance level?
- What is the first step when conducting a hypothesis test?
- A data professional conducts a hypothesis test. They discover that their p-value is less than the significance level. What conclusion should they draw?
- What does a two-sample hypothesis test determine?
- What is the null hypothesis of a two-sample t-test?
- To conclude the null hypothesis, what two concepts are compared?