INTRODUCTION AND BASIC CONCEPTS OF STATISTICS Flashcards

1
Q

It is the science that deals with data about the condition of a state or community. It is the organization, analysis, and interpretation of data in pursuit of truth.

A

Statistics

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2
Q

Statistics came from the Latin word _____ meaning state.

A

status

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3
Q

10 Uses of Stats in our Daily Life

A
Predictions
Testing
Forecasts
Preparedness
Predicting 
Political
Insurance
Consumer
Financial
Sports
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4
Q

2 Branches of Stats

A

Descriptive Statistics

Inferential Statistics

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5
Q

This branch of statistics makes a group of scores comprehensible. It describes the important characteristics of sample data and predict ones Y score based on the X score.

A

Descriptive Statistics

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6
Q

It is the branch of statistics that draws conclusion based on the scores collected and goes beyond them. It decides whether to believe what the sample data indicate about the scores that would be found in the population.

A

Inferential Statistics

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7
Q

Pertains to the entire collection of events.

A

population

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8
Q

Refers to the set of individuals taken from a population.

A

sample

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9
Q

It describes the characteristics of a population of scores.

A

parameter

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10
Q

It is the value that describes a sample.

A

statistics

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11
Q

It is the characteristics that have varying values. it is what researchers try to measure.

A

variable

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12
Q

A possible number or category that a score can have.

A

value

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13
Q

A person’s value on a variable.

A

score

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14
Q

Types of Variables

A

Nominal/Categorical

Numerical

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15
Q

2 Types of numerical or quantitative data

A

Discrete variable

Continuous variable

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16
Q

This variable has a specific value and cannot have values between specific values.

A

Discrete variable

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17
Q

This variable is an infinite number of possible values between any two values.

A

Continuous variable

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18
Q

2 Kinds of Variables

A

Independent variable

Dependent variable

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19
Q

This variable is the one that is manipulated and causes an event to happen.

A

Independent variable

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20
Q

This variable is the one being measured and is the one affected.

A

Dependent variable

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21
Q

This determines how you analyze a given data.

A

Levels of Measurement

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22
Q

4 Levels of Measurement

A

nominal
ordinal
interval
ratio

23
Q

A level of measurement that is categorical and has no ordering.
Ex: marital status, gender, types of car owned

24
Q

A level of measurement that is categorical and follows an order.
Ex: ranking, service quality rating, student letter grades

25
A level of measurement that has intervals between variables but no true zero . Ex: Temperature in Fahrenheit, standardized exam scores
interval
26
A level of measurement that has intervals between variables and possess an absolute zero. Ex: age, height, weekly food spending
ratio
27
3 tools to summarize data
Frequency table Histograms Frequency distribution
28
This is a table that summarizes data by listing individuals with varying values for a certain variable.
Frequency table
29
A bar-like graph with the values in the horizontal (x) axis and the frequency on the vertical (y) axis.
Histogram
30
True or False. Bar graph is used instead of histogram only when data is nominal.
True
31
A distribution that displays the pattern of frequencies over various variables.
Frequency distribution
32
4 forms/types of Frequency distribution
Unimodal distribution Bimodal distribution Multimodal distribution Rectangular distribution
33
It is a distribution that shows one value as the most frequent.
Unimodal distribution
34
It is a distribution with two approximately equal frequencies.
Bimodal distribution
35
It is a distribution with 2 or more higher frequencies, separated by lower frequencies.
Multimodal distribution
36
In this distribution all values have approximately the same frequencies.
Rectangular distribution
37
3 types/forms of Frequency distribution
Symmetrical distribution Skewed to the right distribution Skewed to the left distribution
38
This distribution's one side is a mirror of the other side.
Symmetrical distribution
39
This distribution's right tail is longer and frequency is higher on the left side.
Skewed to the right distribution (positively skewed)
40
This distribution's left tail is longer and frequency is stacked on the right side.
Skewed to the left distribution (negatively skewed)
41
This effect is achieved when the distribution is skewed to the right where the scores are piled up at the low end.
floor effect
42
This effect is achieved when the distribution is skewed to the left where the scores are piled up at the high end.
ceiling effect
43
It is the Greek term for Kurtosis that means curve.
kyrtos
44
This refers to how much the shape of a distribution differs from a normal curve.
Kurtosis | normal, heavy-tailed, low-tailed
45
Methods of Data Collection
``` Interviews Questionnaires Experiments Direct Observations Use of existing records ```
46
Methods of Data Presentation
Textual method Tabular method Graphical method
47
It is presenting data through text.
Textual method
48
It is the presentation of data in a systematic manner.
Tabular method
49
This presents data in a pictorial form.
Graphical method
50
This chart presents historical data.
Line chart
51
It is a chart that compares amounts in a time series data.
Column chart
52
This chart presents distribution of categorical data.
Horizontal Bar chart
53
It is a chart divided into several sections wherein the biggest slice must be placed at 12 o'clock and there should only be less than 6 categories.
Pie chart
54
This presents magnitude through symbols and pictures.
Pictograph