Lecture 2 Flashcards

central tendency and dispersion

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1
Q

what are the measures of tendencies

A

-Mean
-Mode
-Median

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2
Q

Mean- Define, how to calculate

A

Definition: the average value of the set.
How to calculate: add up all samples then divide by sample size. (amount of samples)

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3
Q

Explain variation with sample size (N). (Mean)

A

Variation with sample size: as sample size increases it gets closer to the population mean

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4
Q

Median define and calculate

A

Definition: is the number in middle of the sample (ranked in order)
How to calculate: The middle sample when the samples are ranked in order. (if there are two middle numbers add them then divide by 2)

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5
Q

Explain variation with sample size (N). (median)

A

Variation with sample size: as sample size increases it gets closer to the population median

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6
Q

Mode define and how to calculate

A

Definition: the the most repeated or frequent number that appears
How to calculate: find the most repeated value.

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7
Q

Explain variation with sample size (N).(Mode)

A

Variation with sample size: as sample size increases it gets closer to the population mode

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8
Q

what are the measures of dispersion?

A

-Range
-Interquartile range
- Standard error (SD)
-Standard deviation (SE)
- coefficient of variation (CV)

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9
Q

Define and how to calculate Range

A

Definition: the Max to min value
How to calculate: Maximum value - Minimum value

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10
Q

Explain variation with sample size (N). (Range)

A

Variation with sample size: as sample size increases it gets closer to the population range

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11
Q

explain variation with magnitude of the mean (μ) (Range)

A

Variation with magnitude of the mean (μ) : larger magnitude with higher mean
Note:a larger range with a higher mean indicates that the data points are spread further apart from each other, even though the central tendency (represented by the mean) is shifted towards a higher value

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12
Q

Define and calculate interquartile range

A

Definition: first to third quartile
Calculation: median of the lower half of the data (Q1) - median of the upper half of the data (Q3)

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13
Q

Variation with sample size (Interquartile range-IQR)

A

Variation with sample size: as sample size increases it gets closer to the populations IQR

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14
Q

Variation with magnitude of mean (μ)
(IQR)

A

Variation with magnitude of mean (μ): larger magnitude with higher mean Note: it tells you how much variation exists within the middle half of your data,

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15
Q

Standard deviation (SD) define and calculate

A

Definition: The average distance to the mean
Calculation:

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