Understanding Inf Stats Flashcards

Distribution, Probability, Significance

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1
Q

What are inferential statistics?

A

They allow you to infer if your hypothesis is correct (is it actually significant?) and assess whether data can be generalised to the target population

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2
Q

Distribution

What is distribution?

A

How spread out the data is when plotted on a frequency graph

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3
Q

Distribution

What does a normally distributed curve look like?

A

Symmetrical curve and no clear “tail”

https://vt-s3-files.s3.amazonaws.com/uploads/problem_question_image/image/23754/SATNorm.png

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4
Q

Distribution

What does a skewed positive distribution curve look like?

A

The “tail” is longer where majority of scores are larger

Tail points towards positive numbers (if on a 4 quadrant graph)

https://th.bing.com/th/id/OIP.H_hIo2hNlk1i5HtapGVhRAHaI4?rs=1&pid=ImgDetMain

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5
Q

Distribution

What happens to measures of central tendancy on a positive skew?

Mean, mode, median

A

They decrease in value

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6
Q

Distribution

What does a skewed negative distribution look like?

A

The “tail” is longer where majority of scores are smaller

https://th.bing.com/th/id/OIP.PbBsKbFJ5rp4r2icrr6GEQHaIs?rs=1&pid=ImgDetMain

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7
Q

Distribution

What happens to the measures of central tendancies on a negative skew?

Mean, mode, median

A

They’ll increase in value

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8
Q

Probability

What is probability?

A

A numerical value that represents the likelihood of some event happening

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9
Q

Probability

What word could be used to describe probability?

A

Significance- is it significant or not?

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10
Q

Probability

What scale is probability measured on?

A

Scale from 0-1

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11
Q

Probability

What does 0 as a value mean in terms of probability?

A

It will never happen

E.g. probability of rolling a 7 on a six sided dice= 0

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12
Q

Probability

What does 1 as a value mean in terms of probability?

A

It will definitely happen

E.g. probability that the sun will rise= 1

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13
Q
A
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14
Q

Error

What is a type 1 error?

A

False positive- Accept alternate hypothesis when in fact the results were due to chance

No significant difference

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15
Q

Error

What is a type 2 error?

A

False Negative- Accepting null hypothesis when the alternative hypthesis was correct

There is a significant difference

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