CM1 Flashcards

(57 cards)

1
Q

A branch of mathematics that deals with scientific collection, organization, presentation, analysis, and interpretation of numerical data in order to obtain useful and meaningful information

A

Statistics

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2
Q

The process used in collection, presentation, analysis, and interpretation of data

A

Statistical Method

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3
Q

What is the nature of statistics?

A
  • Collection of data
  • Organization of data
  • Analysis of data
  • Interpretation of data
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4
Q

The process of obtaining information

A

Collection of data

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5
Q

Ascertaining manner of presenting the data into tables, graphs, or charts so that logical and statistical conclusions can be drawn from the collected measurements

A

Organization of data

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6
Q

The process of extracting from the given data relevant information from which numerical description can be formulated

A

Analysis of data

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7
Q

The task of drawing conclusion from the analyzed data

A

Interpretation of data

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8
Q

What are the 2 major areas of statistics?

A
  1. Descriptive Statistics
  2. Inferential Statistics
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9
Q

Used to report or describe the features or characteristics of data

A

Descriptive Statistics

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10
Q

Summarizes a particular numerical data sets or multiple sets, and deliver quantitative insights about that data through numerical or graphical presentation

A

Descriptive Statistics

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11
Q

Summarizes the data you have itself

A

Descriptive Statistics

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12
Q

Used to make conclusions, or inferences, based on the available data from a smaller sample population

A

Inferential Statistics

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13
Q

Using the sample data to draw conclusions about a larger population that can’t feasibly measure entirely

A

Inferential Statistics

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14
Q

Descriptive or Inferential?

Measure of Central Tendency (Mean, Median, Mode)

A

Descriptive Statistics

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15
Q

Descriptive or Inferential?

Measures of Dispersion (Variance, Standard Deviation, Skewness and Range)

A

Descriptive Statistics

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16
Q

Descriptive or Inferential?

Measures of Distribution (Quantity or Percentage of a Particular Income)

A

Descriptive Statistics

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17
Q

Descriptive or Inferential?

Hypothesis Testing

A

Inferential Statistics

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18
Q

Descriptive or Inferential?

Correlation Analysis

A

Inferential Statistics

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19
Q

Descriptive or Inferential?

Linear Regression

A

Inferential Statistics

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20
Q

Descriptive or Inferential?

Confidence Intervals

A

Inferential Statistics

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21
Q

Descriptive or Inferential?

Chi-Square Test

A

Inferential Statistics

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22
Q

Descriptive or Inferential?

The average salary per month of employees is PHP 23,200.00

A

Descriptive Statistics

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23
Q

Descriptive or Inferential?

The teacher will announce the names of the students who got the top 5 scores.

A

Descriptive Statistics

24
Q

Descriptive or Inferential?

5 out of 8 want to use detergent A.

A

Descriptive Statistics

25
Descriptive or Inferential? 95% were cured.
Descriptive Statistics
26
Descriptive or Inferential? The company's income will increase by 3%
Inferential Statistics
27
Descriptive or Inferential? Average life span of a tire
Inferential Statistics
28
Descriptive or Inferential? PAGASA anticipates that there will be at least 30 typhoons this year
Inferential Statistics
29
Numerical information based on counting or measuring that which be manipulated by any fundamental operation
Quantitative Data
30
Descriptive attributes that cannot be subjected to mathematical operations
Qualitative Data
31
Quantitative or Qualitative? Age
Quantitative Data
32
Quantitative or Qualitative? IQ Scores
Quantitative Data
33
Quantitative or Qualitative? Height
Quantitative Data
34
Quantitative or Qualitative? Weight
Quantitative Data
35
Quantitative or Qualitative? Income
Quantitative Data
36
Quantitative or Qualitative? Gender
Qualitative Data
37
Quantitative or Qualitative? Citizenship
Qualitative Data
38
Quantitative or Qualitative? Educational Attainment
Qualitative Data
39
Quantitative or Qualitative? Religion
Qualitative Data
40
Totality of all the elements or persons for which has an interest at a particular time
Population (N)
41
Part of a population determined by sampling procedures
Sample (n)
42
Any statistical information or attribute taken from a population
Parameter
43
True value or actual statistics since its source is the population itself
Parameter
44
Any estimate of statistical attributes taken from a sample
Statistic
45
A specific factor, property, or characteristics of a population or a sample which differentiates a sample or group of samples from another group
Variable
46
Characteristics that when one changes, the other also changes
Dependent Variable
47
Identify independent and dependent variables Contest ranking and cash price
IV: Contest ranking DV: Cash prize
48
Identify independent and dependent variables Price of gasoline and price of basic needs in the market
IV: Price of gasoline DV: Price of basic needs in the market
49
Characteristics that does not affect each other
Independent Variables
50
A variable that can be obtained by counting
Discrete Variable
51
A variable that can be obtained by measuring objects or attributes
Continuous Variable
52
Discrete or Continuous? Number of cellphone users
Discrete Variable
53
Discrete or Continuous? Number of computers
Discrete Variable
54
Discrete or Continuous? Weight
Continuous Variable
55
Discrete or Continuous? Temperature
Continuous Variable
56
Discrete or Continuous? Area
Continuous Variable
57
z
Quantitative