Vocabulary Flashcards

(45 cards)

1
Q

Sample

A

Set of observations drawn from a population

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

Categorical variable (qualitative)

A

Take on values that are names or labels (color of a ball, breed of dog)

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

Quantitative variable

A

Numerical; represent a measurable quantity (population: number of people)

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

Categorical graphs

A

Bar graph

Pie chart

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

Quantitive graphs

A
Box and whisker plot
Scatter plot
Dot plot
Histogram
Stem and leaf plot
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Independence

A

Events are independent when one outcome does not affect probability or occurrence of the other

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

Shape

A

Distribution of a pattern of data in a sample (quantitive)

Symmetry, number of peaks, skewness, uniform

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

Center

A

Median of distribution

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

Spread

A

Variability of data
Wide range -> wide spread
Small range -> small spread

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

Mode

A

Most frequent occurring value in a population/sample

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

Uniform

A

All observations equally spread across range of distribution

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

Symmetric

A

Used to describe shape

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

Skewed (left vs right)

A

Skewed right: fewer observations in higher values

Skewed left: fewer observations in lower values

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

Outliers

A

Data point that differs greatly from other values in a sample

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

Median

A

Measure of central tendency

Smallest->largest, number in middle=median

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

Range

A

Difference between biggest and smallest random variable

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

Quartiles

A

Divide a rank-ordered data set into four equal parts

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

Percentile

A

Values that divide a rank-ordered set of elements into 100 equal parts

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Mean

A

Average score

Sum of individual scores divided by number of individuals

20
Q

Variance

A

Numerical value of how widely individuals value from the mean (standard deviation)^2

21
Q

Standard deviation

A

Numerical value of how widely individuals vary from the mean

22
Q

Parameter

A

Measurable characteristic of a population (mean, standard deviation)

23
Q

Statistic

A

Characteristic of a sample

24
Q

Sampling distribution

A

Probability distribution of the statistic for a sample

25
Resistant statistic vs nonresistant
A statistic is resistant of changing data does not change the statistic drastically Nonresistant: changes with data Mean: nonresistant Median: resistant
26
Z-score
How many standard deviations an element is from the mean
27
Empirical rule
When a random independent trial is repeated under the same conditions, the fraction of trials that result in a given outcome converges to a limit as number of trials grows without bounds
28
Response variable
Quantity that is questioned in the study
29
Explanatory variable
Factor that can influence the response variable
30
Lurking variable
Variable that eliminates extraneous variables for the observed relationship between the independent and dependent variables
31
Simulation
Representation of something; not the real thing
32
Trial
A repetition of an experiment
33
Sample survey
Study that obtains data from a subset of a population
34
Bias
Tendency of a measurement process to over/underestimate the value of a population parameter
35
Randomization
Using chance methods to assign subjects to treatments (lurking variables distributed by chance)
36
Sample size
Number of elements in a sample from a population
37
Census
Study that obtains data from every member of a population
38
Simple random sample (SRS)
Population has n objects | Sample has n objects; possible samples of n subjects are equally likely to occur
39
Observational study
Research does not control how subjects are assigned to groups or which treatments groups receive (Sample survey)
40
Experiment
Controlled study; subjects assigned to groups, treatments assigned
41
Placebo
Neutral treatment that has no "real" effect on the dependent variable
42
Sample space
Set of elements that represents all possible outcomes of a statistical experiment
43
Discrete random variable
Variable whose set of possible values is countable
44
Continuous random variable
A variable that can take any value between minimum and maximum values
45
Population
Total set of observations that can be made