Sampling Distributions

Stratified Random Sampling

Systematic Sampling

Simple Random Sampling

Cluster Sampling

The standard deviation is halved.

The standard deviation remains unchanged.

The standard deviation doubles.

The standard deviation is multiplied by four.

It guarantees an absolutely accurate representation due directly correlating increased numbers understanding concepts.

It ensures that every possible subset combination will be represented within her surveyed group

It reduces variability and thus tightens confidence intervals around estimated proportions leading towards greater precision and potentially accuracy if unbiased.

It results invariably correct estimates since bigger samples eliminate all forms bias or distortion inherently present within any set data points.

$\sqrt{\frac{p^2(n-1)}{n+1}}$

$p(1-p)\sqrt{n}$

$\sqrt{\frac{p(1-p)}{n}}$

$\sqrt{np(1-p)}$

Stratified Random Sampling

Simple Random Sampling

Convenience Sampling

Systematic Sampling

The margin of error.

The sample proportion.

The standard error.

The population proportion.

The sampling distribution underestimates the true population proportion by a constant amount

The sampling distributes sample proportion ratios altogether

The expected value of the sampling distribution equals the population proportion

The sampling distribution overestimates the population proportion most of the time

INCORRECT 1. Rural areas vary significantly, affecting college attendance rates.

INCORRECT 3. College attendance rates in urban areas are already well documented and differ greatly from rural rates.

INCORRECT 2. Specific rural areas are known to have higher college attendance rates.

CORRECT. There's no prior information suggesting variability among different rural areas.

There are two equally populated clusters on either side of the mean.

The dots are tightly clustered around one central value.

The dots are widely spread out across various values.

Most of the dots follow an ascending linear pattern on the plot.

The fixed number of independent trials in an experiment.

The specific value order sequence of successes and failures in trials.

Only two possible outcomes for each trial (success or failure).

The probability of success being constant for each trial.