Flashcards in Data-Based and Statistical Reasoning Deck (35):

1

## Measurements of Central Tendency

### Provide a single value representation for the middle of a group of data (mean, median, mode)

2

## Measurements of Central Tendency

### Provide a single value representation for the middle of a group of data (mean, median, mode)

3

## Measures of Central Tendency

### Provide a single value representation for the middle of a group of data (mean, median, mode)

4

## Measures of Central Tendency

### Provide a single value representation for the middle of a group of data

5

## Arithmetic Mean (Average)

### A measure that equally weighs all values; it's most affected by outliers

6

## Median

### The value that lies in the middle of the data set; 50% of the data points are above and below the median

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## Median

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## Mode

### The data point that appears most often; there may be multiple, or zero, modes in a data set

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## Mode

### The data point that appears most often; there may be multiple, or zero, modes in a data set

10

## Range

### The difference between the smallest and largest number in a sample

11

## Distribution

### Classified by measures of central tendency and measures of distribution; it has a particular shape

12

## Distribution

### Classified by measures of central tendency and measures of distribution; it has a particular shape

13

## Normal Distribution

### Symmetrical, mean, median and mode are the same

14

## Standard Normal Distribution

### Normal distribution with a mean of zero and standard deviation of 1

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## Skewed Distribution

### Have differences in their mean, median and mode; skew is in the direction of the tail

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## Bimodal Distribution

### Multiple peaks; it may be useful to perform data analysis on the two groups separately

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## Bimodal Distribution

### Multiple peaks; it may be useful to perform data analysis on the two groups separately

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## Measures of Distribution

###
Range

Interquartile Range

Standard Deviation

Outliers

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## Interquartile Range

### Difference between the value of the third quartile and the first quartile

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## Interquartile Range

### Difference between the value of the third quartile and the first quartile

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## Standard Deviation

### Measurement of the variability about the mean; it is used to calculate how much the data varies

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## Standard Deviation

### Measurement of the variability about the mean; it is used to calculate how much the data varies

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## Outliers

### A result of true population variability, measurement error or non-normal distribution

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## Outliers

### A result of true population variability, measurement error or non-normal distribution

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## Probability of Independent Events

### Does not change based on the outcomes of other events

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## Probability of Dependent Events

### Does change depending on the outcomes of other events

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## Mutually Exclusive Outcomes

### Cannot occur simultaneously

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## Mutually Exclusive Outcomes

### Cannot occur simultaneously

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## Hypothesis Tests

### Use a known distribution to determine whether a hypothesis of difference (the null hypothesis) can be rejected

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## Hypothesis Tests

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## Null Hypothesis

### States that two populations are equal or that a single population can be described by parameter equal to a given value

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## Correlation

### Expresses a relationship between two sets of data using a single number

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## Positive Correlation

### Indicates a positive association between the two variables; that is, when one variable increases the other also tends to increase as well

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## Negative Correlation

### Indicates a negative association between the two variables; that is, when one increases the other tends to decrease or vice versa

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