PR2...... Flashcards

1
Q

Guidelines in Choosing a Data Collection Method are statistical methods that refer to the analysis of data that helps describe, show, or summarize data in a meaningful way.

A

Descriptive statistics

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2
Q
  • These are used to measure the middle value of the data.
  • These include the mean, median, and mode
A

Measures of Central Tendency

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3
Q
  • is the “average” of the given set of numbers.
  • used if the level of measurement of the data is interval or ratio.
A

mean

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4
Q
  • is the middle value of the data.
  • ordinal
A

median

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5
Q
  • is the most frequently occurring value in a data set
  • nominal
A

mode

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6
Q
  • These measure how spread out the scores are.
  • These include the range, standard deviation, and sample variability
A

Measures of Variability

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7
Q

It is the difference between the highest and lowest score of the data. This is the simplest measure of variability

A

Range

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8
Q

It represents the spread of the scores.

A

Standard Deviation

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9
Q
  • shows how varied a sample is - a value assigned to the amount of variability around the mean
  • the square of the standard deviation.
A

Sample Variance

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10
Q

This refers to the estimate of the standard deviation of a sample.

A

Standard Error

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11
Q

The skewness and kurtosis can be used to describe the distribution of the data

A

Distribution of Data

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12
Q

refers to the distortion or asymmetry in a symmetrical bell curve.

A

skewness

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13
Q

distribution means that most of the data are clustered to the left side of the distribution.

A

Positively skewed

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14
Q

distribution means that most of the data are clustered to the right side of the distribution.

A

Negatively skewed

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15
Q

Skewness is less than - 1 or greater than 1.

A

Highly Skewed

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16
Q

Skewness is between -1 and -0.5 or between 0.5 and 1

A

Moderately Skewed

17
Q

If skewness is between -0.5 and 0.5, the distribution is

A

approximately symmetric

18
Q

If skewness is 0, the data is

A

perfectly symmetrical.

19
Q

is the sharpness of the peak of a distribution.

A

kurtosis