Week 5 Flashcards

1
Q

What is Variability?

A

how much scores differ from each other. Variability is the measure of the difference between scores. Variability tell you how much scores are spread out or clustered together.

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2
Q

What are the three measures of variability ?

A

range, Variance, and Standard deviation

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3
Q

What are the limitations of Range?

A

The range is completely determined by the two extreme values and ignores the other scores in the distribution.

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4
Q

Define variance

A

Variance is the average number that each score deviates from the mean.

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5
Q

Define standard deviation

A

Measure the average distance from the mean

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6
Q

How can you visually estimate the sd in a frequency distribution?

A

the standard deviation should not be higher than the range

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7
Q

When should you use the computational formula for sum of squares?

A

when the mean is not a whole number

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8
Q

How do you account for lower variance in sample statistics?

A

Samples tend to underestimate the population value. the variability tends to be consistent, so it can be corrected using degrees of freedom. the sample formulas subtract 1 to correct the bias in sample variability, this increases the the number you would get. (Sample variability is higher)

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9
Q

Unbiased statistic

A

the average value of the statistic is equal to the population parameter

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10
Q

Biased statistic

A

the value of the statistic over or under estimates the population parameter

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11
Q

How does adding or subtracting a constant from each score effect the SD and mean

A
  • doesn’t change the SD

* changes the mean by that constant

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12
Q

What is the effect on SD: multiplying or dividing each score by a constant.

A

standard deviation to be multiplied by the same constant

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13
Q

Low variability means…

A

existing patterns can be seen clearly

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14
Q

High variability means…

A

can obscure patterns in the data and, therefore, can create a problem for inferential statistics

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15
Q

What is central tendency?

A

using an average or typical value to provide a simple description of the entire sample. y can describe an entire distribution and make comparison between groups of individuals or sets of data.

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16
Q

What is the goal of central tendency?

A

describe a distribution of scores by determining a single value that identifies the center of the group.

17
Q

What are the three measure of Central Tendency?

A

Mean, Median, and Mode

18
Q

When do you use the mean measure central tendency?

A

the distribution uses Interval or ratio data

19
Q

When do you use the median to measure central tendency?

A

when should you use the median

  1. skewed data
  2. undermined values
  3. open-ended questions
  4. ordinal scale
20
Q

When do you use the mode to measure central tendency ?

A

when do you use the mode?

  1. nominal scales
  2. Discrete Variables
  3. Describing shape