math haha Flashcards

1
Q

Patterns in Nature

A

Symmetry
Trees, Fractals
Spirals
Waves, dunes
Bubbles, foam
Tessellations
Cracks
Spots, stripes

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

GOLDEN RATIO

A

1.618

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

Two Branches of Statistics

A

Descriptive Statistics
Inferential Statistics

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

Using the data gathered on a group to describe or reach conclusions about the same group
E.g., class average, range of scores in an exam

A

Descriptive Statistics

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

A researcher gathers data from a sample and uses the statistics generated to reach conclusions about the population from the sample drawn.

A

Inferential Statistics

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

Two Types of Variables

A

Qualitative Variables (category)
Quantitative Variables (numbers)

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

Variables that can be placed into distinct categories according to some characteristic or attribute (e.g., gender)

A

Qualitative Variables (category)

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

Variables are numerical and can be ordered and ranked

A

Quantitative Variables (numbers)

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

Characteristic of interest about an object under investigation

A

Variable

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

Quantitative Variables

A

Discrete (whole number)
Continuous (decimal)

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

Countable. Data are obtained by counting
Example: the number of children in a family

A

Discrete (whole number)

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

Can assume an infinite number of values in an interval between any two specific values.
Examples: temperature

A

Continuous (decimal)

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

Four Levels of Data Management

A
  • Nominal (naming, labeling, classification)
  • Ordinal (ranking, order)
  • Interval (zero has meaning)
  • Ratio (zero has no meaning)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

naming, labeling, classification

A

Nominal

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

– lowest level of data management
– for identification and classification

A

Nominal

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

ranking, order

A

Ordinal

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

use to reflect some rank or order of individuals or objects

A

Ordinal

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

where zero has meaning

A

Interval

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

zero is arbitrary (e.g., Temperature)

A

Interval

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

where zero has NO meaning

A

Ratio

21
Q

– highest level of data measurement
– zero is absolute (e.g., height)

A

Ratio

22
Q

Data Collection Method

A
  1. Survey (easy to conduct)
  2. Direct Observation (Qualitative)
  3. Experiment method (Cause and Effect)
  4. Registration Method (need to participate)
23
Q

Makes use of questionnaires (can be telephone, email, personal)

A

Survey (easy to conduct)

24
Q

Data regarding the behavior, attitudes, values, or cultural patterns of individuals are gathered.

A

Direct Observation (Qualitative)

25
Q

The objective is to determine cause-and-effect relationships.

A

Experiment method (Cause and Effect)

25
Q

Provide information to comply with a law or policy.

A

Registration Method (need to participate)

26
Q

Different Forms of Presentation of Data

A

Textual
Tabular
Graphical Presentation

27
Q

presents data in a paragraph form

A

Textual

28
Q

-presents data in tables
-more precise, systematic, and orderly

A

Tabular

29
Q

Effective method of presenting statistical results and can present clear pictures of the data

A

Graphical Presentation

30
Q

Under Graphical Presentation

A

Bar Graph
Line Graph
Pie Chart
Pictogram (Picture Graph)
Cartogram (Map Graph)

31
Q

consists of bars either vertically or horizontally and usually constructed for comparative purposes

A

Bar Graph

32
Q

Shows the relationship between one or more sets of quantities; best used to establish trends

A

Line Graph

33
Q

used to represent quantities that make up a whole.

A

Pie Chart

34
Q

It utilizes picture symbols to represent values.

A

Pictogram (Picture Graph)

35
Q

It is used to present geographical data.
A map is drawn and divided into the desired regions.

A

Cartogram (Map Graph)

36
Q

Is a single score or value that stands for or represents a group of scores or values of the items in a set of data.

A

MEASURES OF CENTRAL TENDENCY

37
Q

The sum divided by the count

A

MEAN (X̄)

38
Q

This is a positional measure and the middlemost value in the distribution.

A

MEDIAN (Md)

39
Q

This is the value or item in a distribution that occurs most frequently or has the highest frequency.

A

MODE (Mo)

40
Q
  1. These are the scores of the students in a 20-item quiz: 13, 15, 18, 12, 11, 17, 18, 19, 20.
A
  1. 15.89
41
Q
  1. These are the prices of sweet corn sold in San Pedro: 20, 23, 22, 18, 15, 25, 20, 30.
A
  1. 21.625
42
Q
  • Describes how spread the individual values are from the average
  • values are used to determine the scatter of values in a distribution
A

Measures of Variability

43
Q

Is the simplest and the easiest to compute among the measures of variability

A

Range

44
Q

is the difference between the highest and the lowest score in the distribution.

A

R = H – L

45
Q

is the square of the deviation from the mean

A

Variance

46
Q

is the square root of variance.

A

Standard Deviation

47
Q
  • It is a measure of how far a set of numbers is spread out.
  • It describes how far the numbers lie from the mean.
  • A high standard deviation indicates that the data points are spread out over a large range of values
A

Standard Deviation