Basic Statistical Concepts Flashcards

1
Q

What are the 4 types of measurement scales?

A

Nominal
Ordinal
Interval
Ratio

(NOIR)

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2
Q

What is a nominal measurement scale?

A

Nominal (name)
Qualitative measure
Gender, race, age - can, but does inherently include, ranking. Only provides information about a difference

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3
Q

What is an ordinal measurement scale?

A

Ordinal (Order)
Qualitative measure
A set of ordered categories, but with no indication of how much better one score is than another
e.g. gold, silver, bronze

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4
Q

What is an interval scale?

A

Quantitative
A numbered scale than CAN go below zero
e.g. temperature

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5
Q

What is a ratio scale?

A

Quantitative
A numbered scale that CANNOT go below zero
e.g. blood pressure, HR

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6
Q

Rati0

A

Ratio - but with a zero on the end - to remember that only rati0 has an absolute zero and interval does not

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7
Q

Normal distribution

A

Symmetrical distribution of data - most subjects score in the middle
Frequency of scores decline at extremes

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8
Q

What are the three measures of central tendency

A

Mean, Median, Mode

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9
Q

What is the mean?

A

Arithmetic average of a set of scores - add them all together and divide by n

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10
Q

What is the median?

A

Median score is where 50% of scores are above it and 50% are below it. When N is odd, median is the middle score. When N is even, N is the average of the two middle scores

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11
Q

What is the mode?

A

The most frequent score in a distribution

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12
Q

What is it called if a set of data has two modes?

A

Bimodal

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13
Q

If data is bimodal, is it normally distributed?

A

No

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14
Q

When is the mean the best reflection of the data?

A

When the data is symmetrical or normally distributed

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15
Q

What are two measures of variability?

A

Standard Deviation
Range

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16
Q

Range

A

Implies difference between highest and lowest score
Limitation is that it is heavily influenced by extreme scores

17
Q

Standard deviation

A

Provides information about the variation/dispersion from the mean
If mean is 10 and the SD is 2 (10 +/-2) then the majority of the data in the set is around 8-12
Data MUST be normally distributed for this to be true

18
Q

How much of the data falls within 1 SD of the mean?

A

68% - 34% either way

19
Q

What is correlation?

A

(R)
A numerical coefficient that indicates the extent to which variables are related

20
Q

Can correlation (R) signify the cause of a relationship?

A

No! It can signify the amount of relationship but not the cause

21
Q

What are the numerical values of a perfect positive, and negative, correlation respectively?

A

1.00 and -1.00

22
Q

What is Pearson’s Correlation?

A

Most common measure of correlation
Used to correlate two different variables. It is a bivariate statistic
Commonly used to establish validity

23
Q

What is validity?

A

Refers to the accuracy of a measure - HOW WELL the results measure what they are SUPPOSED to measure

24
Q

What is reliability?

A

Reliability refers to the consistency - HOW REPEATABLE are the results
Reliable = Repeatable

25
Q

Can a test be valid if it is not reliable? How about vice versa?

A

A test CANNOT be valid if it is not reliable. However, it CAN be reliable even if it is not valid

Validity includes reliability - but reliability w/o validity can be true because a test may have repeatable results, but be measuring the wrong thing

26
Q

What should R be to be considered a reliable test?

A

0.90 or higher

27
Q

What are the main sources of measurement error?

A

Instrument
Administrator
Subject
Environment