Statistics Hypothesis Testing

The area of the shaded region in the graph is …

Determine the correct order of hypothesis testing.

• D-A-B-C

• A-C-D-B

• A-D-C-B

• D-C-B-A

If P-value (right-tail) < \frac{\alpha}{2} , then we conclude …

• There is sufficient evidence to accept the null hypothesis

• There is insufficient evidence to accept the null hypothesis

• There is insufficient evidence to reject the null hypothesis

• There is sufficient evidence to reject the null hypothesis

It is a statistical method applied in making decisions using experimental data. Hypothesis testing is basically testing an assumption that we make about a population.

• conclusion

• hypothesis testing

• hypothesis

• proposition

Match the following

• We reject the null hypothesis

• When P-value>0.05

• A measure of how confident you can be about rejecting the null hypothesis

• Level Of Significance

• We do not reject the null hypothesis

• p-value

• The probability that the null hypothesis is true.

• None of the above

• We accept the alternative hypothesis

• When P-value<0.05

Which of the following is a true statement?

• Tests of significance (hypothesis tests) are designed to measure the strength of evidence against the null hypothesis.

• A well-planned test of significance should result in a statement either that the null hypothesis is true or that it is false.

• The null hypothesis is one-sided and expressed using either < or > if there is interest in deviations in only one direction.

• When a true parameter value is farther from the hypothesized value, it becomes easier to reject the alternative hypothesis.

• Increasing the sample size makes it more difficult to conclude that an observed difference between observed and hypothesized values is significant.

Which of the following is a true statement?

• Tests of significance (hypothesis tests) are designed to measure the strength of evidence against the null hypothesis.

• A well-planned test of significance should result in a statement either that the null hypothesis is true or that it is false.

• The null hypothesis is one-sided and expressed using either < or > if there is interest in deviations in only one direction.

• When a true parameter value is farther from the hypothesized value, it becomes easier to reject the alternative hypothesis.

• Increasing the sample size makes it more difficult to conclude that an observed difference between observed and hypothesized values is significant.

If the p-value is less than α, we reject H₀

• True

• False

Which of the following is the FIRST step of a hypothesis test?

• Check assumptions & conditions

• Find your test statistic

• State your conclusion

• State your null & alternative hypotheses

It is a proposed explanation, assertion, or assumption about a population parameter or about the distribution of a random variable.

• hypothesis

• hypothesis testing

• conclusion

• proposition