DDDM Flashcards

1
Q

Two type of statistics (Analytics)

A

Descriptive and Inferential

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

Descriptive statistics are used to

A

Inform / exploratory

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

Inferential statistics are used to

A

Predict / Trend

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

4 levels of measurement

A

NOIR: Nominal, Ordinal, Interval, Ratio

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

Continuous data with unique 0 point

A

Ratio

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

Orders data at equal distances apart

A

Interval

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

Place qualitative objects in some kind of order

A

Ordinal

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

Identify, Group, or Categorize

A

Nominal

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

Outliers this type of error

A

Out-of-range

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

Unpredictable error

A

Random Error - No correlation

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

Error may occur from missing data (i.e. - space not filled in)

A

Omission Error - Distorted results

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

This error repeats itself

A

Systematic error - skewed results

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

What is the purpose of quality control?

A

Reduce / minimize errors

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

All variables measurements and manipulations are under the researcher’s control

A

Experimental study

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

Used when impractical or impossible to control the conditions of the study

A

Observational study

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

Participants are not told if they are in the treatment group or control group

A

Blind study

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

The procedure the researchers applied to each other

A

Treatments

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

Neither the treatment allocator nor the participants know who is in the treatment group or control group

A

Double blind study

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

Questions favor an outcome or the interviewer ask questions that favor an outcome

A

Information Bias

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

The average outcome (payoff) when the future includes scenarios that may or may hot happen

A

Expected Monetary Value (EMV) Analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Observation points that are distant from other observations

A

Outliers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Bias that occurs from not selecting a random sample

A

Measurement bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Bias introduced because respondents believe it will be beneficial selected

A

Conscious bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

Each of the four quartile groups a population can be divided

A

Quartiles

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Measures the difference between the third and first quartile
IQR: Inter-quartile range
26
Used to study the composition of data set and examine the distribution
Box plot
27
The order you pick your sample in does not matter
Combination Picking
28
When given P(A) given P(B), you can use this to find the P(B) given P(A)
Bayes Theorem
29
Apply this rule when looking for two events occurring (AND)
Multiplication
30
Use this rule when looking for one or the other event happening (OR)
Addition
31
A simple regression using time as the independent variable
Time series
32
A general slope upward or downward over a period of time
Trend
33
Unforeseen circumstances causing random devastations
Irregularity
34
Repetition in up and down patterns
Cyclicality
35
Regular pattern within a single year
Seasonality
36
Represents the probability that a variable falls with a certain range
Cumulative distribution
37
A list of all the different possibilities of each outcome that can occur
Probability distribution
38
Measures of central tendency are approximately equal (Mean and Median)
Normal Distribution
39
Use to compare the mean of 3 or more groups
ANOVA
40
ANOVA uses this test statistic
F-value (must be higher than critical value to reject the null)
41
A correlation is weak if the coefficient is close to what?
Zero
42
A correlation is strong if the coefficient is close to what?
1 or -1
43
Illustrates limits or constraints a process should not exceed
Control chart
44
Illustrates performance measurements over a period of time
Run chart
45
Assist in brainstorming issues that are causing the problem
Cause and effect diagrams
46
Visual tool to understand a process
Flowchart
47
Tool used to collect data to create other charts
Check sheet
48
Graphical display of data set with one bar for each category
Histogram and Pareto
49
Graphical display of data set centered
Histogram
50
Graphical display of data set in order from highest to lowest
Pareto
51
Used for potential relationships and correlations between variables
Scatter diagram
52
Can the tools be used independently?
Yes
53
What percentage of problems does Ishikawaw claim the seven tools can solve?
90 - 95%
54
A diagram demonstrating all the elements that can be influence a process before it starts
SIPOC (Supplier, Input, Process, Output, Customer)
55
Manufacturing approach to improving processes
Six sigma
56
In manufacturing, statistics is used for what?
Quality control
57
Which step is a response of analytical result in the Plan-Do-Study-Act process?
Act
58
Shows whether a result meets the a requirement or not
Attribute
59
Shows how well a result meets the requirement
Variable
60
Variations accepted as the normal part of the process
Common cause variations
61
Variations from an abnormality causing large discrepancies in results
Special cause variation
62
Model of designing, analyzing, and scoring test
IRT: Item Response Theory
63
How does the government differ than private sector cost-benefit analysis?
Government benefits aren’t always money. Could be flood prevention or community welfare programs.
64
Compares one individual’s performance to another individuals
Norm referenced
65
Compares an individual’s performance to a standard score (Example: Cut score of 64%)
Criterion referenced
66
A management strategy that uses results as a central measurement of performance
RBM: Results Based Management
67
What big data
Very large data sets
68
Used to count all of the existing cases of a disease
Prevalence
69
Used to count only the new cases of a disease
Incident (incident rate)
70
Used to analyze if funding is worth the outcome of a project
Cost-benefit analysis
71
Performance measure for one specific goal
KPI (Key Performance Indicator)
72
Multiple KPIs are displayed for the big picture
KPI dashboard - More than one chart is needed
73
What does the balanced scorecard measure?
CLIF (Custom, Learning, Internal processes, Financial management) Are we meeting the strategy?
74
The balanced score card requires time and effort to establish a meaningful scorecard. Is this an advantage or disadvantage?
Disadvantage
75
The balanced score card improves internal and external communication. Is this an advantage or disadvantage?
Advantage
76
When using a balanced scorecard is is difficult to maintain momentum. Advantage or disadvantage?
Disadvantage
77
Using a balanced scorecard improves organizational alignment. Advantage or disadvantage?
Advantage
78
A balanced scorecard links strategy to organizational results. Advantage or disadvantage?
Advantage
79
KPI: Data driven results make it easier to quantify performance. Advantage or disadvantage?
Advantage
80
KPIs are difficult to change once established. Advantage or disadvantage?
Disadvantage