FINAL ASSESSMENT Flashcards

1
Q

2 types of stats (Analytics)

A

DESCRIPTIVE - Inform / Explanatory

INFERENTIAL - Predict / Trend

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2
Q

4 Levels of Measurement

A

NOIR
Nominal
Ordinal
Interval Ration

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3
Q

Continuous data with a Unique Zero point

A

RATIO

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4
Q

Qualitative objects placed in some type of order

A

Ordinal

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5
Q

Identify, Group, Categorize

A

Nominal

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6
Q

OUTLIERS create this type of Error

A

Out-of-Range

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7
Q

Error the occurs from missing data (space not filled in) = distorted results

A

Omission Error

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8
Q

Error that REPEATS itself. Leads to skewed results

A

Systematic Error

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9
Q

The process of Quality Control

A

Reduce / minimize errors

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10
Q

ALL variable measurements and manipulations are under the Researchers Control

A

Experimental Study

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11
Q

Impractical or Impossible to control the Conditions of the study

A

Observational Study

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12
Q

Questions favor an outcome OR if interviewer asks questions that favor an outcome

A

Information BIAS

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13
Q

Average outcome (Payoff) when future includes scenarios that may or may not happen

A

EMV Analysis (Expected Monetary Value)

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14
Q

Observation points that are distant from other observation points that can be Included or Excluded in analysis

A

Outliers Note

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15
Q

Bias that occurs from NOT selecting a Random Sample

A

Measurement Bias

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16
Q

Bias that introduced from respondents belief that it will be Beneficial if selected

A

Conscious Bias

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17
Q

The measured distance between the the THIRD and FIRST quartile

A

IQR (inter-quartile range)

MUST be ordered LOW –> High

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18
Q

Used to STUY the Composition of data set and examine the distribution

A

Box Plot

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19
Q

Given the PROB of A given PROB of B… can use this to find the P of B given the P of A

A

Bayes Theorem

MUST know P (A), P (B) and P(A) given B

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20
Q

RULE used then looking for TWO events occurring (AND)

A

Multiplication

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21
Q

RULE used then looking for One OR the other event happening (OR)

A

Addition

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22
Q

Simple Regression where Time is the Independent Variable

A

Time Series

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23
Q

General SLOPE that is UPWARD or DOWNWARD over a Period of Time

A

Trend

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24
Q

UNFORSEEN circumstances that cause Random Deviations

A

Irregularity

25
Repetition in UP and Down Patterns
Cyclicality
26
Regular pattern within a SINGLE year
Seasonality
27
Represents the PROB that a Variable falls within a Certain Range
Cumulative Distribution
28
LIST of ALL the different Probabilities that can occur
Probability Distribution
29
Measures of the CENTRAL TENDENCY are approximately EQUAL (Mean and Median)
Normal Distribution
30
Compares the MEANS of 3 or More groups
ANOVA\ - F-Value - HIGHER than Crit Value to REJECT the Null
31
Statistic used by the T- TEST
T-Value | - MUST be HIGHER than the CRITICAL Value in order to REJECT the Null
32
Weak correlation IF the Coefficient is Close to which number value?
ZERO
33
STRONG CORRELATION if Coefficient is..
Close to - 1 or 1
34
Chart that illustrated Performance Measurements over a Period of Time
Run Chart
35
Chart that Illustrated the LIMITS or Constraints a process should NOT Exceed
Control Chart
36
Visual TOOL used to understand a Process
Flowchart
37
EASY Tool used to collect data to Create OTHER Charts
Check Sheet
38
Graphical DISPLAY of a Data Set with ONE BAR for each Category
Histogram - graphical display CENTERED and Pareto - display in Highest to Lowest order
39
Use this to discover potential Relationships and Correlation between Variables
Scatter Diagram
40
What % of QUALITY PROBLEMS does Ishikawa claim the 7 TOOLS can Solve?
90 - 95%
41
Diagram; demonstrates ALL elements that can Influence a Process BEFORE it starts.
``` SIPOC Supplier Input Process Customer ```
42
MANUFACTURING approach to Process Improvement
SIX SIGMA
43
In MANUFACTURING, what are Statistics used for?
Quality Control
44
Plan - Do - Study - Act ... which step is a Response to Analytical Results?
Act
45
Shows whether a Results meets Requirements or not..
Attribute
46
How WELL a Results meets Requirement
Variable
47
Variations that are accepted as Normal part of the Process
Common Cause Variation
48
VARIATION from an ABNORMality that Causes LARGE discrepancy in results
Special Cause Variation
49
MODEL of Designing, Analyzing, and Scoring Tests
IRT (Item Response Theory)
50
Government vs Private sector and Cost-Benefit Analysis
GOVT Benefits.. not Always Money | ... could be flood prevention or welfare
51
COMPARES 1 individual's performance to Other individuals
NORM Referenced
52
COMPARE Individual's performance to a Standard Score
Criterion Referenced
53
Management STRATEGY that uses RESULTS as the Central Measurement of Performance
RBM - Results Based Management
54
Used to count ALL existing cases in a disease
Prevalence
55
Count ONLY NEW cases in a disease
Incidence (Incidence Rate)
56
Used to analyze if FUNDING is worth the Outcome of a project
Cost-Benefit Analysis
57
Performance measure for ONE SPECIFIC goal
KPI
58
Where multiple KPIs are displayed for the Big Picture
KPI Dashboard - multiple charts are needed
59
What does a Balanced Scorecard Measure?
``` CLIF C - Customer L - Learning I - Internal processes F - Financial performance ```