STATISTICS Flashcards

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1
Q

Mean

A

total / # of data points

most useful when data set does not have outliers or is not skewed to one extreme

Affected by extreme values or outliers

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2
Q

Median

A

Middle Data Point

more helpful when there are outliers or data is skewed

Not as affected by extreme values or outliers

if there are two middle data points, the average of those two values is the median.

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3
Q

Mode

A

Most occurring value in a data set

is possible for there to be more than one mode or no modes

use mode when the data are non-numeric or when asked to choose the most popular item (For example, you
ask 100 people “what is their favorite color?” The Mode would more useful than mean or median.

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4
Q

Range

A

Largest value - smallest value = range

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5
Q

Normal Distribution

A

When the data is equally distributed and has little to no skew.

When the mean, median, and mode are equal or nearly equal

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6
Q

Positively Skewed

A

Mean being pulled by outliers in the positive direction

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7
Q

Negatively Skewed

A

Mean being pulled by outliers in the negative direction

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8
Q

Outlier

A

a point (value) that lies an abnormal distance from other points (values)

could also mean a point that doesn’t follow a trend in the data

can distort mean

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9
Q

Accuracy

A

how close a measured value is to the actual (true) value

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10
Q

Precision

A

how close the measured values are to each other

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11
Q

Random Errors

A

Fluctuations of data in either direction

can be overcome by taking more data

could have accuracy but never have precision

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12
Q

Systematic Errors

A

All of the data is off in THE SAME WAY

has precision but no accuracy

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13
Q

Rounding

A

rounded value should not go beyond the precision of instrument that was used to record

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14
Q

Percent Change

A

the amount of change relative to the original value

((Final – Initial) / Initial) * 100

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15
Q

Absolute Average Deviation (AAD) (MAD)

A

the average distance between each data value and the mean

To Find AAD:
1. find the mean (average)
2. find the difference between each data value and the mean
3. take the absolute value of each difference
4. find the mean (average) of these differences

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16
Q

Percent AAD

A

Quantifies the AAD relative to the mean.

(AAD / Mean) * 100

17
Q

T-Test

A

Assesses if the observed difference between means is due to chance or due to the independent variable

18
Q

p-value (in T-Test)

A

the probability (in percentage) that the observed difference in the means is not due to the the independent variable, but it is due to chance

The lower the p-value, the more likely that the observed difference is a result of the independent variable and not due to chance

19
Q

Scientists generally agree that a p=value of ____ or lower is low enough
to accept that the observed difference is not due to ____. This Also Disproves the ______.

A

0.05, chance, null hypothesis

20
Q

Null Hypothesis

A

a hypothesis that says there is no statistical significance between the two variables in the hypothesis

THE HYPOTHESIS THAT THE RESEARCHER IS TRYING TO DISPROVE

21
Q

When to use bar graph

A

Data is Discrete - this is data that can be counted and has a finite number of values. These values must be able to fall within certain classifications and are unable to be broken down into smaller parts

Examples:

The number of employees in your department

The number of new customers you signed on last quarter

22
Q

When to use line graph

A

Data is continuous - data has values that are not fixed and have an infinite number of possible values. These measurements can also be broken down into smaller individual parts.

Examples:

The height or weight of a person

The daily temperature in your city

23
Q

Elements of a Proper Graph

A
  1. Title
  2. proper style (bar, line, pie)
  3. labeled axis (including units)
  4. key: indicating independent variables (for example
    naming each of the bars by color)
  5. line of best fit if appropriate, error bars if it is a bar graph with means
  6. Caption
24
Q

Caption of a Graph

A

Describes the graph or table in enough detail for the graph or table to be understood in isolation for the text.

must include:
1. whether the graph shows raw data or means
2. Identifying error bars as AAD
3. sample size
4. number of replications

Example (see photo):

Rats were tested on their mass based on whether or not the received growth hormones. Data shown as mean +/- AAD. Sample Size = 6 Repetitions = 1.

25
Q

Factors that influence P-Value

A
  1. Distance between the means
  2. Spread of the data
  3. Sample size