Exam 1 Content Flashcards

1
Q

Nominal Scales

A

classified into one of the categories and then counted for frequency

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2
Q

Ordinal Scales

A

gives quantitative order to variables (rank order scale)

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3
Q

Interval Scale

A

equal intervals of measurement

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4
Q

Ratio Scale

A

based on order, has equal distance between scale points, and uses zero to represent the absence of value

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5
Q

Null Hypthoesis

A

predicts no difference between groups (x=z)

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6
Q

Alternate Hypothesis (research hypothesis)

A

predicts a difference between groups

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7
Q

Independent Variable

A

manipulated by researcher

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8
Q

Dependent Variable

A

the outcome

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9
Q

Statistical Inference

A

process of generalizing from a sample to a population

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10
Q

Population

A

a group of things that all have at least 1 common characteristic

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11
Q

Sample

A

portion of population

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12
Q

Central Limit Theorem

A

states that the sum of random numbers become normally distributed as more numbers are added

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13
Q

Mesokurtic Curves

A

frequency tapers off symmetrically towards the tail

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14
Q

Platykurtic

A

thinner and longer tails than normal distribution (longer)

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15
Q

Leptokurtic

A

less tails than normal distribution (higher)

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16
Q

Skewness

A

measure of bilateral symmetry

17
Q

Equation for Skewness

A

(Sum of Z^3)/N

18
Q

Kurtosis

A

Measure of the relative heaviness of the tails

19
Q

Equation for Kurtosis

A

(sum of Z^4/N)-3.0

20
Q

Standard Error Factor for Skewness

A

SqrRoot(6/N)

21
Q

Standard Error Factor for Kurtosis

A

SqrRoot(24/N)

22
Q

Positively Skewed

A

tail to the right

23
Q

Negatively Skewed

A

Tail to the left

24
Q

Z-Score

A

raw score expressed in standard deviations

25
X
mean
26
SD
sample mean
27
Sigma or Mu
population mean
28
Z Score Equation
X-X/Sigma
29
Sampling Error
amount of error in the estimate of a population parameter that is based on a sample statistic
30
Standard Error of the Mean
indicates the amount of error that may occur when a random sample mean is used as a predictor of the mean of the population
31
Equation for Standard Error of the Mean
SD/SqrRoot(N)
32
Sampling Distribution of the Mean
frequency distribution of the sample means
33
Equation for Sample Distribution of the Mean
Mu= X +/- 1(SEm) where X=sample mean and Mu=pop mean
34
Level of Confidence
Percentage figure that establishes the probability that a statement is correct
35
Probability of Error
If x is the chance of being incorrect than p<.x
36
Confidence Interval
range of values associated with a level of confidence
37
Equation to find Confidence Interval
Mu = X +/- Z(SEm)
38
Type I Error
Rejected H but it is true (alpha)
39
Type II Error
Accepted H but it is false (B)