The mean of a normal distribution determines its steepness. The standard deviation determines its position.

Confidence level can be found at the tails of the curve.

Significance level determines the area where the estimate of the parameter falls.

A point estimate is a specific numerical value of a population parameter.

The sample mean 𝑥̅ is the best point estimate of the population mean.

An interval estimate is a range of values that may contain the parameter of a population.

The margin of error refers to the minimum estimate of how far the parameter could differ from the point estimate.

As the sample size increases, the t-distribution approaches the standard normal distribution.

When 𝑛 ≥ 30, and 𝜎 is unknown, the sample standard deviation 𝑠 can be substituted for 𝜎.

What do you call the set of all people, objects, events, or ideas you want to investigate?

A sample refers to a ____________ of a population.

What do you call a number that describes a population characteristic?

Which of the following symbols denotes population mean?

Which of the following symbols denotes population standard deviation?

What do you call the continuous, systematic, and bell-shaped distribution of a variable?

The area under the curve is _________.

In statistics, error refers to ___.

Which of the following symbols denotes sample mean?

Which of the following symbols denotes the sample size?

A t–statistic, also called a t-score.