Duplicate of Stats 1 - Section 4.6 & Chapter 5

Question 1

We interpret the standard error of the mean as

Accepted Answer

standard deviation of the sampling distribution of means

Question 2

If a random sample is taken from a population that is normally distributed the sample will be

Accepted Answer

distributed normally every time.

Question 3

Consider the following sampling distribution. What does the standard error of the mean =?

Accepted Answer

16 / (square root 64)

Question 4

Using Table. Assume a binomial can use normal approximation. μ = 35, std dev = 6; P(x≤30); z=

Accepted Answer

-0.75

Question 5

Regardless of the population, if n is large, the sample distribution will be normal because of

Accepted Answer

Central Limit Theorem (CLT)

Question 6

In order to use the normal to approximate the binomial μ +/- 3 std dev must

Accepted Answer

must be between 0 - n

Question 7

A sampling distribution is NOT

Accepted Answer

a collection of CLT's.

Question 8

In general, when calculating a point estimator using samples we

Accepted Answer

Prefer unbiased estimates because they represent parameters

Question 9

This is a ...

Accepted Answer

Parameter

Question 10

The standard error of the sampling distribution of means

Accepted Answer

is the (population standard deviation) / (square root of n)

Question 11

Bonus. This is our last question. Time is ticking....

Accepted Answer

Maybe pick this one., Definitely pick that one., Pick the other one., Don't pick that one.

Question 12

The mean of the sampling distribution is

Accepted Answer

equal to the population mean

Question 13

The correction for continuity is used for

Accepted Answer

correcting a discrete distribution.

Question 14

The CLT requires _____, _____ samples.

Accepted Answer

random, large

Question 15

This is a ...

Accepted Answer

Statistic

Question 16

Assume a binomial can use normal approximation. μ = 35, std dev = 6; z= -0.75; P(x≤30);

Accepted Answer

0.5 - 0.2734

Question 17

The Normal Approximation to the Binomial can be used

Accepted Answer

for any binomial probability as long as n is large.

Question 18

The Central Limit Theorem is considerred

Accepted Answer

to be one of the most important ideas in statistics

Question 19

A sampling distribution is a collection of a large number of samples

Accepted Answer

True

Question 20

Since the binomial is discrete, its frequency distribution will never look like a normal curve.

Accepted Answer

False

Question 21

HW completion time μ=13 hr, st dev=6 hr. In a sample of 64 HW; what is p ( ẍ < 12)

Accepted Answer

9.2 %

Question 22

Consider the following sampling distribution. What does μ =?

Accepted Answer

50

Questions 22