Inferential Stat Flashcards

1
Q

Find the Value of K

A

Must add up to 1
Add all and set equal to 1

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2
Q

find E(x) with a table

A

Rewrite the table with k
Multiply the top and bottom
Add all up

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3
Q

When finding P(X=x) you must…

A

Include ALL possibilities

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4
Q

How to solve binomial dist. problems with an exact number + at most

A

use binomial pdf
find
number of trials
p=probability
x= amount trying to find
solve

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5
Q

Find the expected number of something

A

Multiply probability by the total amount

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6
Q

How to solve binomial dist. problems with at least a number + less than

A

Use binomial CDF
number of trials ( the same for any question)
probability (the same)
x= 1 fewer than the given number
calculate and subtract from 1

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7
Q

Binomial dist. more than

A

Use Binom CDF
Subtract 1 - normal calculations

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8
Q

Binomial dist. less than

A

Binom cdf
Normal calc just x-1

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9
Q

how do you find the variance of a binomial dist. ?

A

total * prob. * (1-prob)

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10
Q

When given Z ~ N(0,1) what do you plug in

A

Plug into NormCDF
Use upper/lower limit
doesn’t matter if its less than or equal to

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11
Q

When given Z ~ N(#, #) not (0, 1)

A

Plug into NormCDF
Square root the second number
Plug 1st into mean
Plug 2nd into SD

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12
Q

Find P given mean and area

A

Graph problem
Find probability of mean (.50)
Subtract .5- entire thing ,

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13
Q

Variance

A

standard deviation squared

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14
Q

how to find the value of a variable with standard deviation and mean

A

Use invNorm
plug in equal
plug in mean + SD

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15
Q

z score

A

Z= X(raw data)-mean/standard deviation

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16
Q

When do you use a z-score

A

Normal distribution
Standard deviation
Finding probability with a Z~ N(#,#)

17
Q

Given Z ~ N(0,1), use graphing calc

A

P(#<Z<a) =#
Draw on paper g
Plug into NormCDF to find Z<1
Find P(Z<a)-P(Z<1) = #
Add P(Z<1) to number to find a
Plug A into InvNorm

18
Q

Null hypothesis (H0)

A

The hypothesis did not work

19
Q

Alternative hypothesis (H1)

A

the hypothesis did work

20
Q

If the probability is less than or equal to the predicted amount…

A

Reject the H0

21
Q

If the probability is greater than the predicted amount…

A

Fail to reject the H0

22
Q

Z test

A

Exact amount of numbers for something

23
Q

2 samp z test

A

quantifiable amount of numbers for something
ex. hours

24
Q

1-prop z test

A

qualitative comparison

25
2- prop z test
percentages
26
How do you find p?
plug known numbers into what test it is
27
what do you write after you either reject or FTR the hypothesis
either restate the claim if its Reject or debate the claim if its FTR