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
Q

2- prop z test

A

percentages

26
Q

How do you find p?

A

plug known numbers into what test it is

27
Q

what do you write after you either reject or FTR the hypothesis

A

either restate the claim if its Reject or debate the claim if its FTR