Statistics Flashcards

(20 cards)

1
Q

What are the four types of statistical data?

A

Nominal, Ordinal, Interval, and Ratio.

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2
Q

True or False: Nominal data can be ordered or ranked.

A

False.

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3
Q

Fill in the blank: _____ data is characterized by a meaningful order but no true zero point.

A

Ordinal.

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4
Q

Which type of data has both order and equal intervals but no true zero?

A

Interval data.

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5
Q

Multiple Choice: Which type of statistical data includes a true zero point? A) Nominal B) Ordinal C) Interval D) Ratio

A

D) Ratio.

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6
Q

What type of data does Nominal gather?

A

Data on labels like Gender or Hair Color

Nominal data categorizes variables without a specific order.

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7
Q

What is Frequency of distribution?

A

How many times or at what frequency something occurs

This concept is used least often in data analysis.

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8
Q

What type of concepts does Ordinal data represent?

A

Non-numeric concepts like happiness, satisfaction, or pain

Ordinal data indicates order but not the exact value between variables.

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9
Q

How can information be gathered for Ordinal data?

A

Using a Likert Scale (1 to 5, 1 to 10)

Likert scales allow respondents to express degrees of opinion or feeling.

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10
Q

What defines Interval data?

A

Ordered values like temperature or time that are known, measurable, and consistent

In Interval data, you can add or subtract values.

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11
Q

What is the key characteristic of Ratio data?

A

Ordered values with no zero; no negative numbers

Ratio data allows for operations like addition, subtraction, multiplication, and division.

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12
Q

Give examples of Ratio data.

A

Weight and height

Ratio data can provide meaningful comparisons and calculations.

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13
Q

What is the Mean or Average of a data set?

A

Sum of all observations / number of observations

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14
Q

Define Median in a data set.

A

Middle value when ordered

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15
Q

What is the Median of the data set 2, 3, 3, 4, 5?

A

3

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16
Q

What is the Mode in a data set?

A

Value that occurs most frequently

17
Q

What is variability?

A

Summary statistics that represent how far the data points are from the middle. Dispersion of data or values.

Variability is a key concept in statistics that helps understand the spread of data.

18
Q

What is the range in statistics?

A

The difference of the lowest and the highest values.

Range provides a measure of how spread out the values are in a dataset.

19
Q

Define variance.

A

The average square distance from the mean. All data points are considered and compared to the mean.

Variance quantifies how much the data points differ from the mean, indicating the level of dispersion.

20
Q

What does standard deviation measure?

A

Typical difference between each data point and the mean.

Standard deviation is a commonly used measure of variability that indicates the extent to which data points deviate from the mean.