Math 146 - Central Limit for Mean and Proportions

These flashcards cover key concepts related to the central limit theorem, probability distributions, and statistical tests discussed in the Math 146 lecture.

Bone Density Test

A test used to identify bone disease, measured as a z score in a normally distributed population.

Z Score

A statistical measurement that describes a value's relation to the mean of a group of values, standardized with a mean of 0 and a standard deviation of 1.

Q1

The bone density test score that separates the bottom 25% from the top 75% of the distribution.

Wechsler IQ Test

An intelligence test designed for a mean score of 100 and a standard deviation of 15, with scores that are normally distributed.

Central Limit Theorem

A theorem that states the distribution of the sample mean approaches a normal distribution as the sample size increases, regardless of the original distribution.

Standard Deviation

A measure of the amount of variation or dispersion in a set of values.

Population mean

The average of a set of values in the entire population.

Normal Approximation to the Binomial

A method used to estimate probabilities for a binomial distribution using the normal distribution.

Significance Level

The criterion used for rejecting the null hypothesis, commonly set at 0.01, 0.05, or 0.10.

Sample Mean

The average of a set of values from a sample, used to estimate the population mean.