UNIT 2 Flashcards

1
Q

used to describe basic features of the data in the study and provide simple summaries about the sample and measures

A

Descriptive Statistics

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2
Q

describe and understand the features of a specific data set and to repurpose hard-to-understand quantitative insights across a large data set

A

Descriptive Statistics

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3
Q

Two Types of Variables

A
  1. Categorical Variables - qualitative, has distinct groups and variables
  2. Continuous Variables - quantitative, represent measurable amounts
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4
Q

number of times a particular value occurs in the data

A

Measure of Frequency

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5
Q

can be expressed in ratio, rates, proportions and percentages

A

Relative Frequencies

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6
Q

single values that attempts to describe a set of data by identifying their central position within hat set of data

A

Measures of Central Tendency

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7
Q

arithmetic average or the sum of values in a data set divided by the total number of observations

A

Mean

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8
Q

middle distribution when the data are ranked in order from lowest to highest

A

Median

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9
Q

most common value in a data set

A

Mode

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10
Q

describes the degree to which a variable are similar or diverse

A

Measures of Dispersion

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11
Q

difference between the lowest and the highest value in a set of values

A

Range

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12
Q

measures of spread that reveal how close each observed value is to the mean of the entire data set

A

Variance and Standard Deviation

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13
Q

T/F All descriptive statistics are wither measures of central tendency or measures of variability

A

True

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14
Q

Two Types of Modes

A
  1. Bimodal - distribution has two modes
  2. Multimodal - distribution has more than two modes
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15
Q

another name for the 50th percentile

A

Median

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16
Q

often used when the distribution of scores is either positively or negatively skewed

A

Median

17
Q

used when data are interval or ratio scaled and data are not skewed

A

Mean

18
Q

Morse Type. In symmetrical distributions, the median and mean are equal. For normal distributions, mean = median = mode.

A

Both T

19
Q

Morse Type. In positively skewed distributions, the mean is smaller than the median. In negatively skewed distributions, the mean is larger than the median.

A

Both F

19
Q

also known as measures of dispersion

A

Measures of Variability

20
Q

T/F The more spread out a distribution is, the larger the measure of dispersion is.

A

True

21
Q

Three common measures of variability

A
  1. The range
  2. Semi-interquartile range (SIR)
  3. Variance / Standard Deviation
21
Q

Three common measures of variability

A
  1. The range
  2. Semi-interquartile range (SIR)
  3. Variance / Standard Deviation
22
Q

Difference of the first and third quartiles divided by two

A

The Semi-Interquartile Range

23
Q

T/F The larger the variance is, the less the scores deviate, on average, away from the mean.

A

False

24
Q

degree of asymmetry or irregularity of a distribution

A

Skewness

25
Q

Three Types of Kurtosis

A
  1. Leptokurtic - highest curve
  2. Mesokurtic - middle curve
  3. Platykurtic - lowest curve