Statistical Inference and Hypothesis Testing

To make judgments about a population based on a sample.

To determine the exact value of a population parameter.

To collect data from the entire population.

To compare two unrelated variables.

Comparing to a historical average.

Comparing to another population.

Comparing to a theoretical model.

Comparing to a random sample.

Means are added logically, standard deviations require variance addition.

Means are subtracted, standard deviations are added.

Both means and standard deviations are added logically.

Means require variance addition, standard deviations are subtracted.

The samples must have the same mean.

The samples must be independent of each other.

The samples must be dependent on each other.

The samples must be from the same population.

The sum of the two proportions.

The product of the two proportions.

The average of the two proportions.

The difference of the two proportions.

83%

74%

90%

50%

The two proportions are different.

One proportion is greater than the other.

One proportion is less than the other.

The two proportions are the same.

To increase the sample size artificially.

To simplify the calculations.

To assume the proportions are different.

To get a more accurate representation of the actual proportion.

There is no evidence to reject the null hypothesis.

There is sufficient evidence to reject the null hypothesis.

The sample size is too small.

The test is inconclusive.