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
Z
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