Lecture 14 and 15 Flashcards

1
Q

hypotheses tests?

A

hypothesis tests are tests about a population parameter

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2
Q

null hypothesis?

A

is a statement involving equality about a population parameter. We assume the null hypothesis is true to do our analysis

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3
Q

Alternative hypothesis?

A

statement that contradicts the null. What we conclude is true if the experimental results lead us to conclude that our null is false. Does not involve equality

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4
Q

If p value < a

A

reject the null

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5
Q

if p-value > a

A

fail to reject null

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6
Q

type I error

A

deciding to reject null when true, incorrectly supporting alternative

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7
Q

type II error

A

failing to reject the null when false, incorrectly not supporting alternative

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8
Q

alpha (probability)

A

P(type I error)
P(decide to reject null when true)
P(incorrectly supporting the alternative)
significance level of test

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9
Q

beta (probability)

A

P(type II error)
P(failing to reject the null when null is false)
P(incorrectlly not supporting the alternative)

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10
Q

1-beta

A

P(decide to reject null when null is false)
P(correctly supporting alternative)
power of test

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11
Q

5 steps to solve hypothesis test

A

1: formulate null and alternative
2: find test statistic
3: specify level of a
4: calculate test statistic and p value
5: draw a conclusion. state whether or not to reject the null and provide interpretation

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12
Q

Different cases

A

case 1: H0: mu= mu0 vs Ha: mu<mu0 (reject null if z<za)
case 2: H0: mu=mumu0 vs Ha: mu>mu0 (reject null if z>za)
case 3: H0: mu=mu0 vs Ha: mu (not =) mu0 (reject null if z>za/2 or z<-za/2)

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13
Q

test statistics for large and small samples

A

z= sample-population mean/ sd/ sqrt (n)
t= sample-population mean/sample sd/sqrt (n)

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14
Q

p-value

A

(normcdf or tcdf)
P(z>x)
for a specific state test is the probability of observing a vlaue of the test stat that is at least as contradictory to the null hypothesis and supportive of alt hypothesis, as actual one computed from sample data

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15
Q

How to determine to reject null

A

choose maximum value of x of a you are willing to tolerate
if p-value is less than a, reject if not do not reject

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16
Q

ethics

A

selecting value of alpha must be done BEFORE to computing observed sig level (p value)

17
Q

conditions for a valid small sample hypothesis test for mean

A

random sample is selected form target population
population from which the sample is selected has a distribution that is approximately normal

18
Q

interpretation

A

at a= ___ level of significance, there is insufficient ( or sufficient) evidence that mean mean is ___ than ___. This means that the data does (or not) supply evidence.

19
Q

Large sample about population proportion

A

case 1: Ho: p=p0 vs Ha: p<p0 (reject H0 if z<-za)
case 2: H0: p=p0 vs Ha: p>p0 (reject H0 if z>za)
case 3: H0: p=p0 vs Ha: p (not=) p0 (reject H0 if z>za/2)

20
Q

test stat for proportion

A

z= p(hat)-p/sqrt (pq/n)

21
Q

conditions for large sample test for p

A

1: a random sample is selected form a binomial population
2: the sample size n is large. this condition will be satisfied if both np0>15 + nq0>15

22
Q

rejection region and p value on calc

A

invNorm or invT; normcdf or tcdf