Business Statistics

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Last updated 12:48 AM on 9/28/26
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114 Terms

1
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the methodology of extracting useful information from a data set.

Statistics

2
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To do good statistical analysis, you must

  1. Find the right data.

  2. Use the appropriate statistical tools.

  3. Clearly communicate the numerical

information into written language.

3
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Consists of all items of interest.

Population

4
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A subset of the population

Sample

5
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The more dispersion of data across a graph

Standard deviation

6
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What are the two types of Quantitative data?

Discrete: Countable
Continuous: measurable

7
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What are the two branches of statistics?

Descriptive & Inferential Statistics

8
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This branch of statistics deals with collecting, organizing, and presenting the data.

Descriptive statistics

9
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This branch of statistics deals with drawing conclusions about a population based on sample data from that population.

Inferential statistics

10
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A _____ statistic is calculated from the _____ data and is used to make ______ about the unknown population

parameter.

Sample, sample, inferences

11
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What are the five types of data?

  1. Cross-sectional

  2. Time series

  3. Structured

  4. Unstructured

  5. Big


12
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This type of data is collected by recording a characteristic of many subjects at the same point in time, or without regard to differences in time.

Cross sectional

13
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In cross sectional data subjects may include what?

Individuals , Households, firms, industries, regions, and countries.

14
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This type of data is collected by recording a characteristic of a subject over several time periods.

Time series

15
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Time series data subjects may include what?

hourly, daily, weekly, monthly, quarterly, or annual observations.

16
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This type of data has a well-defined length and format.

Structured data

17
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Subjects for structured data includes

Numbers, dates, strings of words, etc.

18
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This type of data does not conform to a predefined row -column format.

Unstructured data

19
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Subjects for unstructured data include.

Reports, emails, multimedia, etc.

20
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This type of data has a massive volume of data that is difficult to manage, process, and analyze using traditional tools.

Big data

21
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A _____ is the general characteristic

being observed on objects of interest.

variable

22
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What are the two types of variables?

Qualitative - Non numerical

Quantitative - Numerical

23
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What are the two types of quantitative variables?

Discrete and Continuous

24
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A ______ variable assumes a

countable number of distinct values.

discrete

25
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A ______ variable can assume an uncountable number of values within an interval.

continuous

26
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What are the two scales of measure for qualitative variables?

Nominal & ordinal

27
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What are the two scales of measure for quantitative variables?

Interval & Ratio

28
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What scale of measure is categorized for grouping the data?

nominal scale

29
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What scale of measure may be categorized and ranked

with respect to some characteristic or trait.

Ordinal scale

30
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What scale of measure has NO starting point.

Interval scale

31
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What scale of measure has a starting point

Ratio Scale

32
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<p>A _________  for qualitative data groups data into categories and records how many observations fall into each category.</p>

A _________ for qualitative data groups data into categories and records how many observations fall into each category.

frequency distribution

33
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For relative frequency you divide the number of objects observed by the ______

Sample size

34
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Objects that don’t share anything any common are ______

Mutually exclusive

35
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If objects take up the whole space then they are ______

exhaustive

36
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For each category’s ______ count the number of them that fall in that category.

Frequency

37
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To calculate relative frequency, you divide each category’s frequency by the _______.

sample size

<p>sample size</p>
38
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To express relative frequencies in terms of percentages, multiply each proportion by ___.

100

<p>100</p>
39
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All proportions in relative frequency must sum to___ , and total of percentages must sum to ___

1.0, 100%

40
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a ______ is a segmented circle whose segments portray the relative frequencies of the categories of a qualitative variable.

Pie chart

41
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A ______ depicts the frequency or the relative frequency for each category of the qualitative data as a series of horizontal or vertical bars which are proportional to the values that are to be depicted.

Bar chart

42
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A _________ for quantitative data groups data into intervals called classes, and records the number of observations that fall into each class.

frequency distribution

43
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When constructing frequency distribution the two guidelines are classes are ______ ______ & ________

mutually exclusive, exhaustive

44
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The formula for approximating the class width is what?

Largest value - Smallest Value/ Number of classes

45
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<p>This image of data converted is known as what?</p>

This image of data converted is known as what?

Frequency distribution

46
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A _______ _______ ______ specifies how many observations fall below the upper limit of a particular class.

Cumulative Frequency Distribution

47
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<p>The third column represents the what?</p>

The third column represents the what?

Cumulative frequency

48
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A _____ _____ _____ identifies the proportion or fraction of values that fall into each class.

relative frequency distribution

49
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A ______ ______ _____ distribution gives the proportion or fraction of values that fall below the upper limit of each class.

Cumulative relative frequency

<p>Cumulative relative frequency</p>
50
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A ______ is a visual representation of a

frequency or a relative frequency distribution.

Histogram

51
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In a histogram the bar height represents the respective class

frequency or ______ ______

relative frequency

<p>relative frequency</p>
52
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<p>This image refers to </p>

This image refers to

Symmetric Distribution

53
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If the data is displayed as a long, narrow tail to

the right it is what?

Positively skewed

<p>Positively skewed</p>
54
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If the data is displayed as a long, narrow tail to the left it is what?

Negatively skewed

<p>Negatively skewed</p>
55
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A ________ is used to determine if two

variables are related.

scatter plot

56
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What is the term for upward or downward-sloping

trend of the data?

Linear relationship (positive or Negative)

57
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Data that has _______ is randomly scattered with

no discernible pattern.

no relationship

58
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The______ ____is a primary measure of central

location.

arithmetic mean

59
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what is the formula for the median?

n+1/2

60
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If median is not listed and falls between two observations, ____ then divide by 2

add

61
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____ is the term for the most frequently appeared data.

Mode

62
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When using any type of rate or rate of return, use _______ ____

geometric mean

63
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Another term for arithmetic mean is simply ____ or _______

mean, average

64
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What are the four measures of central location?

mean, median, mode, weighted average

65
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<p>This picture represents the _____.</p>

This picture represents the _____.

median

66
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Sometimes, a data set can have either one mode, __ _____ or ____ _____

no mode, many modes

67
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The weighted mean is used when some observations have ______.

worth

68
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What are the four measures of dispersion?

Range
Mean Absolute Deviation
Variance and standard deviation
Coefficient of Variant

69
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What is the formula for the range?

Max value - min value

70
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The ____ _______ _______ represents the average of the absolute differences

between the observations and the mean.

Mean Absolute deviation

71
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a ______ is a numerical value that measures the likelihood that an uncertain event occurs

probability

72
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All possible outcomes is known as what?

Sample space

73
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“A or B” in problem, then use _____ sign

union

74
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“A and B” in problem, then use _____ sign

intersection

75
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An _______ is process that leads to one of

several possible outcomes.

experiment

76
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Something is an experiment because the outcome is _______.

unknown

77
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S is denoted as _____ _____

sample space

78
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An _____ is a subset

of the sample space.

event

79
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<p>The green represents a _____ of S, therefore it is an _____</p>

The green represents a _____ of S, therefore it is an _____

subset, event

80
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<p>The _____ of two events (A∪B) is the event</p><p>consisting of all simple events in A <strong><u>or</u></strong> B.</p>

The _____ of two events (A∪B) is the event

consisting of all simple events in A or B.

Union

81
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<p>The ____________ of two events (A ∩ B) consists of all outcomes in A <strong><u>and</u></strong> B.</p>

The ____________ of two events (A ∩ B) consists of all outcomes in A and B.

intersection

82
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The ______ of event A (i.e., Ac) is the event consisting of all outcomes in the sample space S that are not in A.

complement

83
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When listing Unions and intersections don’t list the data _____

twice

84
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What are the two general types of probabilities?

Subjective and objective

85
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This type of probability is assigned on personal and subjective judgment.
Or as Professor Park said, your own belief.

subjective probability

86
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What are the two types of objective probabilities?

Empirical and classical

87
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This type of objective probability has a relative frequency of

occurrence.

empirical probability

88
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<p>This picture represents what probability?</p>

This picture represents what probability?

empirical probability

89
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deduced by reasoning about the problems. It is based on the assumption that all outcomes of an experiment are equally likely.

Classical probability

90
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When converting an odds ratio to a probability, if odds FOR event A are “a to b” then use the formula….

a/a+b

91
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When converting an odds ratio to a probability, if odds AGAINST event A are “a to b” then use the formula …

b/ a+b

92
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<p>These formulas represent converting an ____ ratio to a  _______</p>

These formulas represent converting an ____ ratio to a _______

odds, probability

93
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When converting a probability to an odds ratio, the odds for event A occurring equal what formula?

P(A) / 1- P(A)

<p>P(A) / 1- P(A)</p>
94
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When converting a probability to an odds ratio, the odds against event A occurring equal what formula?

1-P(A) / P(A)

<p>1-P(A) / P(A)</p>
95
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This rule is when the probability of the complement of an event, P

(A^c), is equal to one minus the probability of the

event.

The Complement rule

96
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What is the formula for the complement rule?

P(A^c) = 1- P(A)

<p>P(A^c) = 1- P(A)</p>
97
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This rule is when the probability that event A or B occurs, or that

at least one of these events occurs

Addition rule

98
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what is the formula of the addition rule?

P(A ∪ B) = P( A) + P(B) - P(A ∩B)

99
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The probability of an event GIVEN that another

event has already occurred.

Conditional probability

100
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<p>This image is the addition rule for ___ ______ _____ events</p>

This image is the addition rule for ___ ______ _____ events

two mutually exclusive