# Interpreting & Analyzing Data Sets Flashcards

Interpreting & Analyzing Data Sets Flashcards
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Determine the 3rd slowest cyclist:

Cyclist with the bike number 1006

Got it
Standard Competition Ranking

A ranking system in which equal positions are given the same ranking, and the next position gets the next highest rank

Example: If 3rd and 4th are tied, they both receive 3rd and next is 5th

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Fractional Ranking

A ranking system in which the positions that are equal are given the ranking of the mean of those positions

Example: if 3rd and 4th are tied, they receive the mean position (3.5)

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Ordinal Ranking

A ranking system in which each position is given a different number, in sequence, and no positions are equal

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Median

When arranged from smallest to largest, the middle value in a data set

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Interquartile Range

The difference between a data set's upper quartile and lower quartile values

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Range

The difference between a data set's largest and smallest values

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Calculating Variance

Find the mean, subtract each number in the data set from the mean and square the result, add the squared numbers together, and divide by the total number of values

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A measure of the distance from the mean or median for all numbers in a data set

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19 cards in set

## Flashcard Content Overview

Data analysis is an important step in many different situations. You may be a business owner and need to rank the items in your store by least to best selling. You may be in the market for purchasing a home and need to determine where the asking price of a house fits in the market. You may be conducting a survey, and need to determine whether the data you are collecting is quantitative or qualitative. The flashcards in this set will help you review how to work with data sets.

Front
Back

A measure of the distance from the mean or median for all numbers in a data set

Calculating Variance

Find the mean, subtract each number in the data set from the mean and square the result, add the squared numbers together, and divide by the total number of values

Range

The difference between a data set's largest and smallest values

Interquartile Range

The difference between a data set's upper quartile and lower quartile values

Median

When arranged from smallest to largest, the middle value in a data set

Ordinal Ranking

A ranking system in which each position is given a different number, in sequence, and no positions are equal

Fractional Ranking

A ranking system in which the positions that are equal are given the ranking of the mean of those positions

Example: if 3rd and 4th are tied, they receive the mean position (3.5)

Standard Competition Ranking

A ranking system in which equal positions are given the same ranking, and the next position gets the next highest rank

Example: If 3rd and 4th are tied, they both receive 3rd and next is 5th

Determine the 3rd slowest cyclist:

Cyclist with the bike number 1006

Inferential Statistics

Mathematical methods that look for patterns and relationships in data

Descriptive Statistics

A method of sharing statistical information through the use of measures of central tendency (like average) and visual representations like graphs and tables

Predictive Statistics

Mathematical methods that aim to use existing data to predict future conditions

Quantitative Data

Numerical data that can be analyzed with statistics

Examples: measurements and survey results

Qualitative Data

Opinion- and insight-based data

Examples: observations, interviews, and opinions

Mean

The average of a data set

To calculate: add all the values together, divide by the total number of values

Problem: the following data sets have the same mean but are very different: {0, 10}, {5, 5}

Determine whether the following are examples of descriptive or inferential statistics: a bar graph showing pizza topping preferences; the average length of a tabby cat's tail.

Both are examples of descriptive statistics, since they use measures of central tendency or visuals to describe data.

Determine what the following events are an example of. A: A rolled dice lands on the number 6. B: The same rolled dice also lands on the number 5 at the same time.

The events are mutually exclusive events because they cannot happen at the same time.

Correlation

Describes how closely two data sets are related to one another

Mutually Exclusive Event

Two or more events that cannot occur together, like drawing two ace of spades from a standard 52-card deck

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