Unit 1(B) Flashcards

1
Q

What is the median

A

Middle number of a set of numbers arranged in numerical order

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2
Q

What is the mean

A

Found by summing all terms then dividing by number of terms

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3
Q

Characteristic of median

A

Resistant to extreme values and outliers.

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4
Q

Which type of statisic is median used in

A

Descriptive

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5
Q

What type of statistic is mean used in

A

Inferrential

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6
Q

4 ways to describe variability and dispersion

A

Range
Interquartile range
Variance
Standard deviation

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7
Q

What is the range

A

Diff between largest and smallest value

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8
Q

What is the interquartile range

A

Diff between largest and smallest value after removing the largest and smallest quarters.

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9
Q

How much % of data is the IQR

How to calc

A

Middle 50%

Q3 - Q1 = 75th percentile - 25th percentile

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10
Q

What is the variance

A

Averaging the squared diff of all the values from the mean

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11
Q

What is the standard deviation

A

Square root of variance

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12
Q

Adv and disadv of range

A

Adv:
Quick
Easy to calc

Disadv:
Completely depends on 2 extreme values
Ignores all middle values

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13
Q

Adv and disadv of IQR

A

Adv:
Removes influence of extreme values
Helps catch outliers

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14
Q

How to catch outliers via IQR

A

If a value is 1.5 * IQR less than Q1 or 1.5 * IQE more than Q3 it is an outlier.

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15
Q

What does standard deviation give a measure of

A

measure of the spread of the x-values around the sample mean

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16
Q

3 ways to designate positions

A

Simple ranking
Percentile
Z score

17
Q

What is simple ranking

A

which involves arranging the elements in some order and noting where in that order a particular value falls

18
Q

What is Percentile ranking

A

which indicates what percentage of all values fall below the value under consideration

19
Q

What is Z score and what does it do

A

how many standard deviations a particular value varies from the mean.

Normalizes data

20
Q

When is percentile used (related to the population)

A

When population size is unknown or irrelevant.

21
Q

Formula for Z score

A

(X-avg)/sd

22
Q

Avg and s/d of Z score

A

0, 1

23
Q

Empirical rule - data distribution compared to SD

What distribution shape can it be applied to

A

68% of data lies within 1 sd
95% of data lies within 2 sd
99.7% of data within 3 sd of the mean

Symmetric bell shaped data

24
Q

Central tendency of a symmetrical/normal curve

A

Center = mean, median and mode

25
Q

Central tendency of skewed left

A

Mode < median < mean

26
Q

Central tendency of skewed right

A

Mode > median > mean

27
Q

What all does a boxplot display

A

Shows the smallest and largest value. The median, Q1 and Q3.

28
Q

What values are sensitive to outliers vs resistant

A

Median and IQR resistant

Mean, range, variance, s/d are sensitive

29
Q

What graph is used to compare distributions

A

back to back stemplot

30
Q

How does changing units/multiplying values by a constant effect all values.

A

Mean, median, range, s/d remain constant.