Stat 200 Test 2

Front 1

Which hypothesis {Ho or Ha} are we trying to prove in a HT?

Back 1

Ha

Front 2

If we have better evidence for Ha than for Ho, does that mean that Ho will probably be rejected?

Back 2

no

Front 3

If Ho is true what is the probability that you will reject it by mistake?

Back 3

Front 4

If Ho is not true what is the probability that you mistakenly not reject it?

Back 4

unknown

Front 5

What is the total area of the rejection region in a HT?

Back 5

Front 6

If you mistakenly reject Ho, what type of error is it?

Back 6

type I

Front 7

If you mistakenly don’t reject Ho, what type of error is it?

Back 7

type II

Front 8

What is the chance of making a type I error?

Back 8

Front 9

What is the chance of making a type II error?

Back 9

unknown

Front 10

What is the notation for the significance level?

Back 10

Front 11

What is the notation for the total area of the rejection region?

Back 11

Front 12

Generally speaking which type of error is more important to keep small?

Back 12

type I

Front 13

At the beginning we always assume what about Ho?

Back 13

it is true

Front 14

The pictures we draw in a HT show how the sample statistic would be distributed assuming __________.

Back 14

Ho is true

Front 15

The pictures we draw in a HT show how ___________ would be distributed assuming Ho it true.

Back 15

the sample statistic

Front 16

The edge(s) of the rejection region(s) are called what?

Back 16

critical values

Front 17

Are the critical value(s) found by a table or calculation in this class?

Back 17

table

Front 18

The standardized number of the statistic(s) related to the parameter(s) in Ho is called what?

Back 18

test statistic

Front 19

Is the test statistic found by a table or calculation?

Back 19

calculation

Front 20

What is the p-valuein everyday terms?

Back 20

assuming Ho is true it is the chance of findingas strong or stronger evidence than we got that Ho is not true

Front 21

In a right-hand tail the p-value is the area to the ________ of the test statistic. This is because this area represents the chance of getting stronger evidence against Ho, assuming Ho is true.

Back 21

right

Front 22

In a right-hand tail the p-value is the area to the right of the test statistic. This is because this area represents the chance of getting _________________ evidence against Ho, assuming Ho is true.

Back 22

stronger

Front 23

In a right-hand tail the p-value is the area to the getting of the test statistic. This is because this area represents the chance of getting stronger evidence against Ho, assuming Ho is _______.

Back 23

true

Front 24

In order to reject Ho, the p­-value must be what compared to the significance level?

Back 24

less

Front 25

Which casts more doubt on Ho, a small p-value or a large p-value?

Back 25

small

Front 26

Gosset came up with the t distributions by trying to make what product have a high quality?

Back 26

beer

Front 27

Suppose you have a large sample and use z in place of t will the difference be that noticeable?

Back 27

no

Front 28

Suppose you have a small sample and use z in place of t will the difference be that noticeable?

Back 28

yes

Front 29

What is the area under a t curve?

Back 29

1

Front 30

What distribution is a t with an infinite degrees of freedom?

Back 30

z

Front 31

When using the z or t why do we not really care about the normality of the data for large sample sizes?

Back 31

Central Limit Theorem

Front 32

Back 32

Front 33

Back 33

40

Front 34

Back 34

t with 15 degrees of freedom

Front 35

For HTs and CIs for comparing means from two independent samples, if you knew the population standard deviations what distribution would you use?

Back 35

z

Front 36

When comparing two means, we use what arithmetic operation to compare them?

Back 36

subtraction

Front 37

What is the notation for the sample proportion?

Back 37

p’

Front 38

What is the notation for the population proportion?

Back 38

p

Front 39

If the data is random what is the best guess for p?

Back 39

p’

Front 40

To figure the sample size, n, needed for a CI for a proportion, you are safe to use p and q to be ______, this makes n the largest and if n is too large then the margin of error will be even smaller than what was asked for?

Back 40

0.5

Front 41

To figure the sample size, n, needed for a CI for a proportion, you are safe to use p and q to be 0.5, this makes n the largest and if n is too large then the margin of error will be even ­­­_________ than what was asked for?

Back 41

smaller

Front 42

To figure the sample size, n, needed for a CI for a proportion, if you have a reasonable valuefor p’ and use it then you CI mayhave a margin of error a little too big, but your sample size will be ________making collecting the data easier.

Back 42

smaller

Front 43

Suppose p= .40. What is the approximate shape ofthe distribution of p’ for samples ofsize 200?

Back 43

normal

Front 44

Suppose p= .40. What is the mean of thedistribution of p’ for samples ofsize 200?

Back 44

.40

Front 45

Suppose p= .40. What is the standard deviation ofthe distribution of p’ for samples ofsize 200?

Back 45

Front 46

When comparing two proportions, we use what arithmetic operation to compare them?

Back 46

subtraction

Front 47

Are the t distributions symmetric?

Back 47

yes