1 Flashcards

1
Q

TERM: Sample of convenience?

A

Collection of individuals that happen to be available at the time.

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

Variable?

A

Characteristic measured on individuals drawn from a population under study.

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

Data?

A

Collection of values from 1 or more variables made on a collection on individuals.

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

How do a predict a response variable?

A

From an explanatory variable.

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

Populations <-> _____, samples <-> ______ ? 2•

A

•Parameters, •Estimates

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

Biased sample?

A

A sample size whose individuals picked are not picked at equal probabilities because a characteristic may be biased.

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

If estimates tend to differ from the parameter, then the estimate is?

A

Biased.

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

Accuracy (unbiased)?

A

On average gets the correct answer.

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

Precision?

A

Gives a similar answer repeatedly.

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

Properties of a good sample? (3•)

A

•Large sample size
•Each individual has equal probability of being selected (unbiased)
•Independent selection of individuals

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

In a random sample ____?

A

Each member of a population has an equal and independent probability of being selected.

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

Estimates are ________ changing from one random sample to another sample.

A

Random variables

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

Sampling error?

A

Chance difference between an estimate and population parameter being estimated (sampling bias not included).

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

Error?

A

Random difference between estimate and true population.

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

What increases the probability of having a higher accuracy and precision?

A

A larger sample size.

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

!!!Categorical variables:
ordinal,
nominal,

numerical variables?

A

•Fits into a category
•a variable that has an order to it (numbers are ordered)

•Just a number

17
Q

Cumulative frequency distribution?

A

Proportion of individuals equal to or less than that value.

18
Q

explanatory vs response variable? (2•)

A

•Explanatory variable is the action to find the solution of an experiment while the •response variable is the solution of the experiment.

19
Q

Numerical data uses what methods?

A

Histogram
Cumulative frequency
Distribution

20
Q

Categorical data uses what methods?

A

Bar graph

21
Q

!!!Two common descriptions of data

A
22
Q

Means in a sample are often notated as?

A

n bar.

23
Q

mu =?

A

Mean of population.

24
Q

!!!!!In statistics, we use n,N for sample size and n,N for population? (2•)

A

n, N

25
Q

Median?

A

Middle measurement of a set.

26
Q

Mode?

A

Most frequent measurement (NOT THE MOST OF THE RESPONSE VARIABLE)