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5.0(1)

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hint

1

Σ

Sigma, or sum

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2

μ, x̅

Population mean, sample mean

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3

σ, s

Population standard deviation, sample standard deviation

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4

p, p̅

Population proportion, sample proportion

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5

N, N

Population size, sample size

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6

σ_x ̅

Standard deviation of x̅, Dr. Crook calls it the STANDARD ERROR

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7

E(any parameter)

Expected value

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8

α

Level of significance

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9

z

Z score

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10

E

Margin of Error

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11

H_o

Null Hypothesis

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12

H_a

Alternate Hypothesis

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13

σ_1,σ_2

Standard Deviations of Populations 1 and 2

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14

μ_1,μ_2

Means of Populations 1 and 2

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15

x ̅_1,x ̅_2

Means of Samples 1 and 2 from populations 1 and 2

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16

df

Degrees of Freedom

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17

p_1,p_2

Proportions of Populations 1 and 2

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18

p ̅_1,p ̅_2

Proportions of Samples 1 and 2 from populations 1 and 2

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19

σ_(p ̅1-p ̅2)

STANDARD ERROR of the difference of the sample proportions

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20

β_0,β_1

Parameters in the Regression model/equation

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21

ϵ

Error term

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22

ŷ

Simple linear regression number

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23

ŷ_i

Predicted value for element i

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24

SSE

Sum of Squares Error

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25

SST

Sum of Squares Total

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26

SSR

Sum of squares regression

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27

y̅

The linear regression line

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28

r^2

Coefficient of Determination

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29

r

Correlation coefficient

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30

r_xy

Sample Correlation Coefficient

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31

σ^2

Variance of the error term

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32

t

T statistic

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33

F

F statistic

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34

MSR

Mean Square due to regression

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35

MSE

Mean Square due to error

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36

x^*

Given value of the independent variable x

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37

y^*

The random variable denoting the possible values of the dependent variable y when x=x*

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38

Multiple R

Sample correlation coefficient

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39

R-square

Coefficient of determination

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40

Adjusted R-square

Not for simple linear regression

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41

Standard Error

Estimate of the population STD

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42

Observations

Count of the sample

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