describing and summarizing data of a variable

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Last updated 2:00 PM on 9/10/26
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14 Terms

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discreate variable

discrete variables are variables that take finite number of values

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frequency distribution

frequency distribution visual summary that shows how often each value occurs in the dataset

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what is the different type of frequency distribution

  • absolute frequency: the raw count of observations

  • relative frequency (percentage): the precent of observations for each value

  • cumulative percentage: the total percent of observations that fall below or above a certain


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continues variable

continues variables are variables that have infante amount of values

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types of ways to measure continues variables

  • discretization: grouping continues variables into “bins” to create relative frequency

  • probability density function (PDF): describes the relative likelihood for a random variable to take on a given value

  • cumulative density function (CDF): represents the probability that a variable takes less than or equal to the specific limit


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measures of loction

  • Mean: average value

  • median: the exact middle value

  • mode: the most frequent occurring value


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measure of variability

  • range: largest - smallest

  • variance: measures how sped out a set of numbers is from the mean

  • standard deviation: measure the average distance between individual data points


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measure of shape

  • skewness: measure distribution asymmetry

  • Kurtosis: measures tail weight


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normal distribution (z test)

the classic bell curve. Most data points cluster around the middle, while extreme values trail off evenly on both sides

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t-distribution (t-test)

looks like a normal bell curve but fatter outer edges. Used when you have a small sample size, because small samples are more unpredictable and carry extra uncertainty

<p>looks like a normal bell curve but fatter outer edges. Used when you have a small sample size, because small samples are more unpredictable and carry extra uncertainty</p>
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Chi-square distribution

Chi-square is an asymmetry curve that starts at zero and skews heavily towards one side. Use when counting categories instead of averages

<p>Chi-square is an asymmetry curve that starts at zero and skews heavily towards one side. Use when counting categories instead of averages</p>
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F distribution

F distribution is a skewed curve used when comparing variances or spreads across groups. Used when comparing three or more group at once

<p>F distribution is a skewed curve used when comparing variances or spreads across groups. Used when comparing three or more group at once</p>
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