Outliers And Data Flashcards

1
Q

How to find an outlier

A

Outlier is any value greater then Q3 +k(Q3-Q1)
Or
Less than Q1 -k(Q3-Q1)

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2
Q

In histograms, what is proportional to frequency

A

Area is proportional to frequency in histogram bars

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3
Q

Benefits of histograms

A

Histograms give a good picture of how the data is distributed. Enables you to see rough location, general shape and how spread out the data is

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4
Q

How to calculate height of bar histogram

A

Area of bar = k x frequency

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5
Q

Frequency density

A

Frequency density is frequency/class width

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6
Q

What are used to c9mpare data

A

Mean and standard deviation or median and interquartile range are used to compare data

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7
Q

Discrete data

A

Discrete data is data which falls into distinct catagories

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8
Q

Continuous data

A

Continuous data is data which can be anywhere along a range of values

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9
Q

What distribution does continuous data use

A

Continuous data uses normal distribution

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10
Q

What distribution does continuous data use

A

Continuous data uses binomial distribution

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11
Q

How to measure strength of correlation

A

Measure strength of correlation is when points are closer to a straight line

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12
Q

Association

A

Association is connected ness of 2 variables which aren’t necessarily linear. Data can be curved

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13
Q

What is explanatory variable

A

Explanatory variable is independent variable.

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14
Q

What is correlation

A

Correlation is description of linear relationship between 2 variables.

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15
Q

What is hypothesis

A

Hypothesis is statement made about value of a population parameter. E.g lamps have 0.1 chance of breaking

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16
Q

What is critical value

A

Critical value is 1st value to fall inside critical region (where we accept H1)

17
Q

What is acceptance region

A

Acceptance region is region where H0 is accepted