QUESTION 1

The fundalmental condition that permits proper statisticalinference is

	a.	having a large sample
	b.	normal distribution of scores
	c.	random sampling
	d.	knowledge of the values of the parameters of thepopulation

QUESTION 2

Randomization and random sampling

	a.	can be substituted for each other
	b.	often amount to the same thing
	c.	are different procedures
	d.	are synonymous

QUESTION 3

Randomization is used to

	a.	assigning participants to experimental conditions
	b.	to analyze data from random samples.
	c.	as a less complex substitute for random sampling
	d.	to select subjects randomly from a population

QUESTION 4

A population characteristic is known as a(n)

	a.	parameter
	b.	basic value
	c.	element
	d.	statistic

QUESTION 5

\"statistic\" is to \"parameter\" as

	a.	\"calculated\" is to \"given\"
	b.	\"random sampling\" is to \"randomization\"
	c.	\"sample\" is to \"populaton\"
	d.	\"mean\" is to \"standard deviation\"

QUESTION 6

Whether or not a sample is considered random depends on

	a.	the method of selection
	b.	how closely it resembles the population
	c.	the size of the sample
	d.	None of the above

QUESTION 7

Each score in a random sampling distribution of meansrepresents

	a.	a random data point
	b.	a single individual
	c.	a standard score
	d.	a sample mean

QUESTION 8

Which of the following is a parameter?

	a.	σ
	b.	Xbar
	c.	r
	d.	s

QUESTION 9

The standard error of the mean

	a.	is a standard deviation
	b.	is the average amount by which sample values are in error
	c.	is given in terms of standard units
	d.	is larger for larger populations

QUESTION 10

A sampling distribution is a distribution of

	a.	values of a statistic obtained from samples
	b.	scores obtained from samples
	c.	values of a parameter obtained from samples
	d.	any of the above