Chapter 1 Flashcards

1
Q

Population

A
  • The collection of all elements
  • Represented by “N”
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2
Q

Sample

A

-Subset of a population
-Noted by “n”

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3
Q

Parameter

A
  • A characteristic of a population (mean standard deviation etc.)
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4
Q

Statistics

A
  • A measurement derived from sample data
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5
Q

Inferential Statistics

A
  • Using sample statistics to draw inferences about parameters
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6
Q

Descriptive Statistics

A
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7
Q

Qualitative Data

A
  • Categorical responses
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8
Q

Quantitative Data

A
  • Results in numbers
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9
Q

Discrete data

A
  • Quantitative
  • Results in whole numbers
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10
Q

Continuous data

A
  • Quantitative
  • Results in integers
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11
Q

Central location

A
  • Mean, Median, Mode
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12
Q

Measures of Varitibility

A
  • Range, Variance, Standard Deviation,
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13
Q

Sample Variance

A
  • S^2= sum of(x-xbar)^2/(n-1)
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14
Q

Population Variance

A
  • S^2= sum of(x-xbar)^2/(N)
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15
Q

Sample Standard Deviation

A
  • S= sqrt(sum of(x-xbar)^2/(n-1))
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16
Q

Population Standard Deviation

A
  • S= sqrt(sum of(x-xbar)^2/(N))
17
Q

Relative Position of Data

A
  • Percentile Rank, Percentile, Quartile
18
Q

How to calculate percentile

A

I= (Percentile Rank/100)*samplesize

19
Q

How to calculate percentile rank

A

(Number of values below or equal to the number)/(Total number of values in the set) * 100%

20
Q

Five number summary

A

[xmin, Q1, Q2(median), Q3, xmax]

21
Q

Z-scores

A
  • Way to locate if data is above or below average
22
Q

Sample z-score

A

Z=(x-xbar)/(sample standard deviation)

23
Q

Population z-score

A

Z=(x-xbar)/(population standard deviation)

24
Q

Find values from z scores

A

-Sample: Value= xbar + z-scoresample standard deviation
-Population: Vaule= xbar +z-score
population standard deviation