Understanding Myopia Hypothesis Testing

Myopia is unrelated to time.

Myopia is becoming more common over time.

Myopia is staying constant over time.

Myopia is decreasing over time.

The proportion of myopia in 2015 is less than in 2000.

The proportion of myopia in 2015 is greater than in 2000.

The proportion of myopia in 2015 is equal to that in 2000.

The proportion of myopia in 2015 is unrelated to 2000.

Normal condition

Proportional condition

Independence condition

Random condition

The samples are selected with replacement.

The sample size is more than 10% of the population.

The samples are not related to each other.

The sample size is less than 10% of the population.

0.05

0.01

0.10

0.15

By multiplying the sample proportions and dividing by the standard deviation.

By adding the sample proportions and dividing by the total sample size.

By subtracting the sample proportions and dividing by the standard deviation of the sampling distribution.

By dividing the sample proportion by the total sample size.

To calculate the sample size.

To find the z-score directly.

To estimate the true proportion assuming the null hypothesis is true.

To determine the significance level.

Reject the null hypothesis.

Fail to reject the null hypothesis.

Accept the alternative hypothesis.

The test is inconclusive.

To ensure the test is easier to perform.

To avoid bias in interpreting the results.

To ensure the null hypothesis is always rejected.

To make the calculations simpler.

There is strong evidence against the null hypothesis.

There is not enough evidence to reject the null hypothesis.

The alternative hypothesis is definitely true.

The null hypothesis is definitely true.