Math/ Statistics Flashcards

1
Q

The complete collection of “all” individuals/items to be studied.

A

Population

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

A subcollection of members selected from the population.

A

Sample

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

A numerical measurement describing some characteristic of a population.

A

Parameter

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

A numerical measurement describing some characteristic of a sample

A

Statistic

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

Data consisting of numbers representing counts or measurements

A

Quantitative data

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

Quantitative data representing a finite or countable number

A

Discrete data

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

Quantitative data representing an infinite many possible values corresponding to some continuous scale that covers a range of values without gaps, interruptions or jumps

A

Continuous data

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

Data that consists of names or pavers or numbers that do not represent a count or measurement

A

Qualitative data

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

A sample of n subjects selected in such a way that every possible sample of size n has the same chance of being chosen

A

Simple Random Sample (SRS)

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

A sample in which the researcher selects some starting point and then selects every kth element in the population

A

Systematic sample

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

A sample in which the researcher subdivides the population into at least two different groups and draws a sample from each group

A

Stratified sample

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

A sample in which the researcher first divides the population into sections, and then randomly selects all members from some of those clusters.

A

Cluster Sample

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

A sample in which the researcher simply uses results that are very easy to get. This is not a valid sampling method and will likely result in biased data

A

Convenience sample

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

If the result of the sample are not representative of the population

A

Bias

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

The technique used to obtain the individuals to be in the sample tends to favor one part of the population over another

A

Sampling bias

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

When individuals selected to be in the sample who do not respond to a survey have different opinions from those who do

A

Nonresponse bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

When answers on a survey do not reflect the true feelings of the respondent.

A

Response bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

The idea that the sample must contain the characteristics of the population. One of the main concerns in the field of statistics is how accurately a statistic estimates a parameter

A

Representative sample

19
Q

Part of the whole/ total

A

Proportion

20
Q

The measure of center is a value at the center (or middle) of a data set of numbers.

A

Center of data

21
Q

The average of a data set is found by adding all numbers in the data set and then dividing by the number of values in the set

A

Mean

22
Q

The middle value when a data set is ordered from leaf to greatest. When two values are in the middle, the _______ is the average of the two values.

A

Median

23
Q

The number that occurs most often in a data set

A

Mode

24
Q

A point that is not consistent with the bulk of the data from that group. These values can occur by chance, because of error in measurement, during data entry, or sampling errors.

A

Outlier

25
Q

A value in a set of data such that k percent of the observations are less than or equal to the value. Decorated Pk

A

Percentiles

26
Q

Divides the data set into fourths. The 25th, 50th and 75th percentiles

A

Quartiles

27
Q

The highest frequency occurs in the middle and frequencies tail off to the left and the right of the middle

A

Bell-shaped Distribution (Normal)

28
Q

The tail extends to the right of the peak longer than to the left. There are extreme values (outliers) to the right

A

Right-Skewed (positively skewed)

29
Q

The tail extends to the left of the peak longer than to the right. There are extreme values (outliers) to the left.

A

Left-skewed (negatively skewed)

30
Q

The degree to which the data are spread out.

A

Variation

31
Q

The difference between the maximum data value and the minimum data value.

A

Range

32
Q

A measure of how much data values deviate from the mean. It is the distance a data value is from the mean (center)

A

Standard deviation

33
Q

Deviation about the mean - it is the square of the standard deviation.

A

Variance

34
Q

The set of all possible outcomes of an experiment

A

Sample space

35
Q

A long-term relative frequency of an outcome whose value is between zero and one, inclusive

A

Probability

36
Q

When each outcome of an experiment occurs with equal probability.

A

Equally Likely

37
Q

% that it is not going to happen

A

Complement

38
Q

The probability that event A will occur given that event B has already occurred.

A

Conditional probability

39
Q

Knowledge that one occurred does not affect the chance the other occurs.

A

Two events are independent

40
Q

Members of the population are replaced after being selected and that each member can be chosen more than once.

A

Sampling with replacement (independent)

41
Q

Members of the population are not replaced after being selected and that each member cannot be chosen more than once.

A

Sampling without replacement (dependent)

42
Q

Events cannot occur at the same time, meaning that they share no common outcomes.

A

Mutually exclusive

43
Q

The number of standard deviations that a data value x is above or below the mean.

A

Z-score (standardized score)