Stats and mla Flashcards

1
Q

Operlatation

A

The process you are going to use to detect something.

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2
Q

Nominal

A

A set of data is said to be nominal if the values / observations belonging to it can be assigned a code in the form of a number where the numbers are simply labels. You can count but not order or measure nominal data. For example, in a data set males could be coded as 0, females as 1; marital status of an individual could be coded as Y if married, N if single.

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3
Q

Ordinal

A

A set of data is said to be ordinal if the values / observations belonging to it can be ranked (put in order) or have a rating scale attached. You can count and order, but not measure, ordinal data.

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4
Q

Interval

A

Numbers are there can do math with this

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5
Q

Population

A

is the set of all things that you are intrested in

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6
Q

Sample

A

Is a sub-set of the population that you can study

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7
Q

Infrence

A

You get it from the sample- is what you beliove what the Population does

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8
Q

Simple randem sampling

A

Is the best way to do a infrence-everyone in the population has an equal chance of getting picked

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9
Q

Precintaile

A

ex. Act your in the 10 precntile

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10
Q

Bayes Theory

A

In the?frequentist interpretation, probability measures a?proportion of outcomes. For example, suppose an experiment is performed many times.?P(A) is the proportion of outcomes with property?A, and?P(B) that with property?B.P(B|A) is the proportion of outcomes with property?B?out of?outcomes with property?A, and?P(A|B) the proportion of those withA?out of?those with?B.

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11
Q

Works Cited

A

Inclueds all the work you cited

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12
Q

References

A

What you refrence but also includes what you cite

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13
Q

Biblography

A

everything that revolves around your subject but also what you also include in your refrence section

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14
Q

Operlatation

A

The process you are going to use to detect something.

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15
Q

Nominal

A

A set of data is said to be nominal if the values / observations belonging to it can be assigned a code in the form of a number where the numbers are simply labels. You can count but not order or measure nominal data. For example, in a data set males could be coded as 0, females as 1; marital status of an individual could be coded as Y if married, N if single.

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16
Q

Ordinal

A

A set of data is said to be ordinal if the values / observations belonging to it can be ranked (put in order) or have a rating scale attached. You can count and order, but not measure, ordinal data.

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17
Q

Interval

A

Numbers are there can do math with this

18
Q

Population

A

is the set of all things that you are intrested in

19
Q

Sample

A

Is a sub-set of the population that you can study

20
Q

Infrence

A

You get it from the sample- is what you beliove what the Population does

21
Q

Simple randem sampling

A

Is the best way to do a infrence-everyone in the population has an equal chance of getting picked

22
Q

Precintaile

A

ex. Act your in the 10 precntile

23
Q

Bayes Theory

A

In the?frequentist interpretation, probability measures a?proportion of outcomes. For example, suppose an experiment is performed many times.?P(A) is the proportion of outcomes with property?A, and?P(B) that with property?B.P(B|A) is the proportion of outcomes with property?B?out of?outcomes with property?A, and?P(A|B) the proportion of those withA?out of?those with?B.

24
Q

Works Cited

A

Inclueds all the work you cited

25
Q

References

A

What you refrence but also includes what you cite

26
Q

Biblography

A

everything that revolves around your subject but also what you also include in your refrence section

27
Q

Operlatation

A

The process you are going to use to detect something.

28
Q

Nominal

A

A set of data is said to be nominal if the values / observations belonging to it can be assigned a code in the form of a number where the numbers are simply labels. You can count but not order or measure nominal data. For example, in a data set males could be coded as 0, females as 1; marital status of an individual could be coded as Y if married, N if single.

29
Q

Ordinal

A

A set of data is said to be ordinal if the values / observations belonging to it can be ranked (put in order) or have a rating scale attached. You can count and order, but not measure, ordinal data.

30
Q

Interval

A

Numbers are there can do math with this

31
Q

Population

A

is the set of all things that you are intrested in

32
Q

Sample

A

Is a sub-set of the population that you can study

33
Q

Infrence

A

You get it from the sample- is what you beliove what the Population does

34
Q

Simple randem sampling

A

Is the best way to do a infrence-everyone in the population has an equal chance of getting picked

35
Q

Precintaile

A

ex. Act your in the 10 precntile

36
Q

Bayes Theory

A

In the?frequentist interpretation, probability measures a?proportion of outcomes. For example, suppose an experiment is performed many times.?P(A) is the proportion of outcomes with property?A, and?P(B) that with property?B.P(B|A) is the proportion of outcomes with property?B?out of?outcomes with property?A, and?P(A|B) the proportion of those withA?out of?those with?B.

37
Q

Works Cited

A

Inclueds all the work you cited

38
Q

References

A

What you refrence but also includes what you cite

39
Q

Biblography

A

everything that revolves around your subject but also what you also include in your refrence section

40
Q

Standard deviation

A

A measure of the dispersion of a set of data from its mean. The more spread apart the data, the higher the deviation. Standard deviation is calculated as the square root of variance

41
Q

z-score

A

A Z-Score is a statistical measurement of a score’s relationship to the mean in a group of scores. A Z-score of 0 means the score is the same as the mean. A Z-score can also be positive or negative, indicating whether it is above or below the mean and by how many standard deviations.