Stats test 1 Flashcards

1
Q

Population

A

consists of all individuals or objects of a particular type

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2
Q

Descriptive statistics

A

consists of procedures used to organize and summarize the important characteristics of a set of measurements

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3
Q

Inferential Statistics

A

allows us to draw conclusions based on information contained in a sample

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4
Q

Probability

A

forms a bridge between descriptive and inferential stats and gives us an understanding of the properties of a population based on its distrubtion (deductive reasoning)

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5
Q

Steps of Hypothesis test

A

1.) determine parameter 2.) formulate null hypothesis 3.) determine test statistic 4.) From Ha 5.) set alpha 6.) compute 7.) determine Reject or DNR

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6
Q

Type 1 Error

A

rejecting the null hypothesis when Ho is true

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7
Q

Type 2 Error

A

Accept null hypothesis when Ho is false, denoted by beta

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8
Q

P value

A

the smallest level of significance at which Ho would be rejected, the smaller the value the more contradictory it is to Ho

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9
Q

P values for z test

A

Upper (1- phi(z))
Lower phi(z)
Two tail 2[1-phi(|z|))

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10
Q

Pooled t

A

two populations that are normal with equal spreads, determining if centered on same place

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11
Q

Testing Proportions

A

p hat (sample proportion) n*Po >10 and n(1-Po)>10 for test to be valid

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12
Q

Confidence Interval

A

range where parameter is expected to fall, it is the measure of the degree of reliability of the interval

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13
Q

Interpretation of CI

A

95% of all confidence intervals constructed will cover the true mean

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14
Q

Precision of CI

A

increase n, to make interval smaller, making alpha bigger will result in a bigger CI

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15
Q

Margin of Error

A

based only on sample size

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16
Q

T curve and Z curve

A

Z curve is a t curve with infintie degrees of freedom

17
Q

Factor

A

a variable that is being changed and results observed

18
Q

Level

A

a value that is assigned to change the factor (I)

19
Q

Treatment condition

A

the set of conditions for a test in an experiment (factors and their levels

20
Q

Replicate

A

a repeat of a treatment condition (J)

21
Q

Randomization

A

treatment conditions are run in a chance order to prevent any build up of results

22
Q

Orthogonal array

A

a simple way of putting together the treatment conditions so that the design is balanced and factors can be analzed

23
Q

Interaction

A

two or more factors that together produced a result different than their separate effects

24
Q

Assumptions

A

I treatments have distrubtion N(mean, variance) with similiar variances their sum is 0, Each Xij is normal and IID,

25
Q

Evil error

A

random error, dont know where it came from (eij)

26
Q

Alpha i

A

deviation- spread from mean

27
Q

Alternative description of ANOVA

A

Xij= mu+alpha(i)+ eij

28
Q

Fixed Effects

A

alpha