Finals Flashcards

1
Q

denoted by Ha, is the competing claim.

A

Alternative hypothesis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

analyze samplings to make predictions about larger populations.

A

inferential

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

is a range of values that is likely to contain the true value of the parameter. It is associated with the degree of confidence.

A

interval estimate

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

is a statistical tool used for testing hypothesis when the population standard deviation is known and the sample size is at least 30.

A

Z-Test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

is defined as tentative explanation for a group of facts, phenomenon or scientific problem that can be accepted as basis for further verification or accepted as likely to be true.

A

Hypothesis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

the most widely used correlation statistic to measure the degree of the relationship between linearly related variables.

A

The Pearson’s Correlation Coefficient

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

r, can take a range of values from +1 to -1.

A

Pearson correlation coefficient,

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

is the probability that the population parameter is within the confidence interval, usually expressed in percentage value.

A

level of confidence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

is a statistical process used to determine whether there exists a relationship between two or more variables.

A

Correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

a number calculated from given data that measures the strength of the linear relationship between two variables: x and y.

A

linear correlation coefficient

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

states that the sampling distribution of a statistic will be nearly normal if the sample size is large enough.

A

central limit theorem

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

occurs when the null hypothesis is not rejected when in fact it is false.

A

type II error

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

used to predict the value of a variable based on the value of another variable.

A

Linear regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

a relationship between two variables, x and y, in which the change in value of one variable is exactly proportional to the change in value of the other.

A

perfect correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

A value of 0 indicates that there is no association between the two variables.

A

no correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

a relationship between two variables that move in tandem—that is, in the same direction.

A

positive correlation

17
Q

considers a conclusion that is drawn stating that the null hypothesis is false when in fact it is true.

A

type I error

18
Q

a range around a measurement that conveys how precise the measurement is.

A

confidence interval

19
Q

used to explain the relationship between an independent and dependent variable.

A

Coefficient of Determination

20
Q

between -1 and 1

A

value of r