Chapter 4 - Statistics Flashcards

1
Q

The collection, tabulation, analysis, interpretation, and presentation of numerical data

A

Statistics

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2
Q

The Five Aspects of Statistics

A

Collection, tabulation, analysis, interpretation, and presentation

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3
Q

A collection of all possible elements, values, or items associated with a situation

A

Population

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4
Q

A subset of elements or measurements taken from a population

A

Sample

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5
Q

A sample will represent the population of it is

A

Random and Unbiased

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6
Q

Each item in the population had the same opportunity to be selected

A

Random Sample

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7
Q

Two types of statistics

A

Deductive (descriptive) and Inductive

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8
Q

Describes a population or complete group of data

A

Deductive (descriptive) Statistics

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9
Q

Deals with a limited amount of data or a representative sample of the population

A

Inductive Statistics

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10
Q

Two types of numerical data

A

Continuous and Discrete

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11
Q

Those quality characteristics that can be measured

A

Variables Data

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12
Q

Those quality characteristics that are observed to be either present or absent, conforming or non-conforming

A

Attribute Data

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13
Q

The measured value can take on any value within a range

A

Continuous Data

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14
Q

Will be countable using whole numbers

A

Discrete Data

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15
Q

Easily recognized because when viewed, it appears that the data are without order

A

Ungrouped Data

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16
Q

Grouped together on the basis of when the values were taken or observed

A

Grouped Data

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17
Q

Considered to be the difference between a value measured and the true value

A

Measurement Error

18
Q

Shows the number of times each of the measured values occurred when the data were collected.

A

Frequency Diagram

19
Q

Difference between histogram and frequency diagram

A

Data is grouped into cells on a histogram

20
Q

Refers to the form that the values of the measurable characteristics take on when plotted or graphed.

A

Shape

21
Q

Lack of symmetry

A

Skewness

22
Q

Peakedness of the data

A

Kurtosis

23
Q

Number of peaks in the data

A

Modes

24
Q

Two halves are mirror images of each other

A

Symmetrical

25
Q

A distribution with a high peak

A

Leptokurtic

26
Q

A flatter curve

A

Platykurtic

27
Q

If the distribution displays more than one peak

A

Multimodal

28
Q

Distributions with two distinct peaks

A

Bimodal

29
Q

Measures of central tendency

A

Averages, medians, modes

30
Q

Measures of dispersion

A

Range and standard deviation

31
Q

Shows the dispersion of the data within the distribution

A

Standard Deviation

32
Q

The standard deviation of the population is sometimes known as

A

Root mean square deviation

33
Q

A group of sample averages tends to be normally distributed; as sample size n increases, this tendency toward normality improves

A

Central limit theorem

34
Q

The area under the curve can be determined if blank and blank are known

A

Mean and standard deviation

35
Q

A technique that enables us to determine how well the subgroup average approximates the population mean

A

Confidence interval testing

36
Q

Equal to one-half the precision

A

Greatest Possible Error (GPE)

37
Q

When calculating, the final answer can be no more accurate than the blank

A

Incoming Data

38
Q

In general, for a frequency distribution, the number of cells or groups should be between blank and blank

A

5 and 20

39
Q

Whenever possible, the midpoint values should be blank blank so that they will be the same number of decimal places as the data values.

A

Odd Interval

40
Q

A simple technique to determine the cell interval is called…

A

The Sturgis Rule

41
Q

Blank blank are an extra decimal place or significant figure in accuracy than the observed values.

A

Boundary Values