More chapter 7

Question 1

Statistic

Answer 1

Describes samples

Question 2

Parameter

Answer 2

Describes population

Question 3

Increasing sample size

Answer 3

Reduces variability

Question 4

Mean of sampling distribution

Answer 4

M p hat = p
M x = M

Question 5

Standard deviation of sampling distribution

Answer 5

Use formula sheet

Question 6

“Find the probability”

Answer 6

Normalcdf

Question 7

Purpose of 10% condition

Answer 7

Independent probability and to use standard deviation

Question 8

Purpose of large count

Answer 8

Normal sampling distribution

Question 9

Large count condition for a mean

Answer 9

N _> 30

Question 10

Large count condition for proportion

Answer 10

np _> 10

nq _> 10

If one is satisfied, probably skewed right (plot it)
If both are satisfied, it’s normal

Question 11

10% condition

Answer 11

10n <_ N

Question 12

Central limit theorem

Answer 12

As we take many samples, sampling distribution gets closer to parameter and normal

Question 13

When the % says of all after

Answer 13

Parameter

Question 14

Z score

Answer 14

Actual-predicted over SD

Question 15

The variability of a statistic is described by

Answer 15

The spread of the sampling distribution

Question 16

Most variability

Answer 16

Most spread out

Question 17

“Largest bias”

Answer 17

Farthest away from the mean

Question 18

“Low variability”

Answer 18

Smallest range