Stats test 1 Flashcards

(28 cards)

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
Evil error
random error, dont know where it came from (eij)
26
Alpha i
deviation- spread from mean
27
Alternative description of ANOVA
Xij= mu+alpha(i)+ eij
28
Fixed Effects
alpha