Ch. 1-4 test Flashcards

(36 cards)

1
Q

Methods of organizing, summarizing, and presenting data in an informative way.

A

Descriptive Statistics

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

Methods used to estimate a property of a population on the basis of a sample

A

Inferential Statistics

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

The entire set of individuals or objects of interest or the measurements obtained from all individuals or objects of interest

A

Population

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

A portion, or part of the population

A

Sample

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

What’s the difference between quantitative and qualitative

A

Qualitative is non-numeric and Quantitative is numeric

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

Variables that can only assume certain values and there are gaps between the values

A

Discrete variables

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

Variables that can assume any value within a specific range.

A

Continuous variables

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

Describe ordinal measurements

A

Ranked based on defined attribute or qualitative variable

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

Describe nominal measurements

A

Can only be classified and counted. Examples are labels or names

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

Describe interval measurements

A

The interval between values has to have meaning such as a known scale. Has no defined 0

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

Describe ratio measurements

A

Based on a scale of known measurements and has a meaningful zero

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

A grouping of qualitative data into mutually exclusive and collectively exhaustive classes showing number of observations in each class

A

Frequency table

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

A graph that shows qualitative classes on the horizontal axis and the class frequency on the vertical axis

A

Bar chart

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

A chart that shows the proportion or percentage that each class represents of the total number of frequencies

A

Pie Chart

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

A grouping of quantitative data into mutually exclusive and collectively exhaustive classes showing the number of observations in each class

A

Frequency distribution

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

Using a percentage to describe frequency distribution

A

Relative Frequency distribution

17
Q

A graph in which the classes are marked on the horizontal axis and the class frequencies on the vertical axis. Like a bar chart, but bars or adjacent with no space.

18
Q

Shows the shape of a distribution and is similar to a histogram. uses a line to connect segments mid points

A

Frequency Polygon

19
Q
A

Cumulative Frequency Distribution

20
Q
A

Arithmetic mean

21
Q

The midpoint of the values after they have been ordered from the minimum to the maximum values

22
Q

Class of distribution with the highest frequency

23
Q

A convenient way to compute the arithmetic mean when there are several observations of the same value

A

Weighted mean

24
Q

Used to find percentage change over time.

A

Geometric mean

25
Dispersion the measures The maximum - the minimum value
Range
26
The arithmetic mean of the square deviations form the mean
Variance
27
The square root of the variance
Standard Deviation
28
For any set of observations, the proportion of the values that lie within k standard deviations of the mean is at least 1-1/ksquared
Chebyshev's theorem
29
States that for a bell shaped frequency distribution, 68% of the observations will lie within plus or minus 1 SD, 95% within 2, and 99.7 within 3.
Empirical rule
30
Summarizes the distribution of one variable by stacking dots at points on a number line that shows the values of the variable.
Dot plot
31
Values of an ordered data set that divide the data into four intervals
Quartiles
32
Values of an ordered data set that divide the data into 10 equal parts
Deciles
33
Values of an ordered data set that divide the data into 100 intervals
Percentiles
34
A graphic display that shows the general shape of a variables distribution based on 5 descriptive statistics, minimum, maximum, 1st & 3rd quartiles, and median.
Box Plot
35
graphical technique used to show the relationship between two variables measured with interval or ratios scales
Scatter Diagram
36
A table used to classify sample observations according to two identifiable characteristics
Contingency table