Central tendency is a statistical measure that _________ the center of the distribution using a single score.

Variability _________ how far apart scores are located and how far scores are located from the mean.

A z score _________ how a single score (X) relates to an entire population of scores.

2-

We _____ information about a population (parameters) from information about samples taken from that population (statistics).

3- Samples almost never have the same frequencydistribution as the population they come from.

This means:

samples willNOThave the same % of scores in each category as the population has

samplesAREperfectly representative of the population

sampling error is almost inevitable

4-

Which of these explain the sample mean differing from the population mean?

4 options:

The sample was treated differently from the population it was selected from.

The sample experiencedthe same levelof the IV as the population it was selected from

sampling error

The sample experienceda different levelof the IV than the population it was selected from

5-

Which of these are true of the sampling distribution?

Question 5 options:

it's the distribution of raw scores in your original population

in a hypothetical sense, it's created by taking infinite samples from the distribution of raw scores in the original (raw score) population

it's used to figure out how much sampling error there is in an experiment

the sampling distribution is used to calculate standard error

6-

Which of these correctly describes the relationship between the standard deviation and the standard error?

Question 6 options:

standard deviation is a type of standard error

standard error is a type of standard deviation

SD and SE are conceptually identical

SD and SE are the average deviations of all scores from the mean in different distributions

7-

How do you distinguish between the raw scores distribution and the sampling distribution graphs?

Question 7 options:

they are identical

(mu), the symbol for the population mean, is only at the midpoint of the raw score distribution, but not at the midpoint of the sampling distribution

the scores on theXaxis areXs in the raw score distribution

the average deviation from the mean of all the scores in the raw score (original) distribution is represented by

x

9-

Which of these is TRUE about sampling error?

Question 9 options:

is the symbol for standard error

standard error takes account of the size of the sample selected from the original distribution

standard error measures the size of sampling error

10-

Calculate x

for different samples sizes to see howNaffects the size of standard error:

=8.345N=9

Put the answer for this set of numbers in the first blank.

=8.345N=25

Calculating SE is one of the steps along the way to calculating the obtained value ofz. Therefore, you must take it out to at least one more decimal place than you will when you round the result of the final calculation (z-obtained).

z-obtained will be rounded to 2 placesin accordance with so you shouldround standard error (SE) to 3 places when you answer this question.

Question 10 options: