This distribution gives the probability of obtaining exactly r successes in n independent trials

B

This states that the means of a relatively large number of random samples from any population will be approximately normally distributed

C

A variable of countable number of integer outcomes

D

E(X) is called the _________ of x

E

For linear regression, it tests whether the slope is significantly different from 0

F

Another name for the normal distribution

G

The number of successes in a series of draws without replacement

H

The distance between the upper and lower quartiles

I

For two random variables Z and W, the distribution which gives the probability that Z = z and W = w for all values z and w of Z and W respectively

J

A measure of whether the data are peaked or flat in its distribution relative to a normal distribution

K

The probability of a set of observations given the value of some parameter or set of parameters

L

A problem solving technique used to approximate the probability of certain outcomes by running multiple simulations using random variables

M

Hint

Answer

Letter

A qualitative variable defined by mutually exclusive unordered categories such as blood groups, races, sex etc.

N

An extreme observation that is well separated from the remainder of the data

O

Distribution of the number of rare occurrences of some random event

P

Variables for which a numeric value representing an amount is measured

Q

The differences between the observed values and the corresponding fitted values predicted by a regression line

R

A probability model that includes chance events in the form of random measurement error or uncertainty

S

Defined as difference of sample means divided by standard error of difference of sample means

T

A statistic used to estimate a parameter is _______ if the mean of the sampling distribution of the statistic is equal to the true value of the parameter being estimated

U

Can be defined as E[(X-μ)^2]

V

Name which often precedes 'rank-sum test' and 'signed-rank test'

W

This is used to denote the sample mean of a random variable X

X

This is used in certain situations when testing for independence in a contingency table

Y

Expresses the number of standard errors by which a sample mean lies above or below the true population mean