Bio Stats Midterm

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Last updated 3:54 AM on 4/29/26
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18 Terms

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Parameter

  • Describes the entire population

  • Value is Constant (fixed)

  • Source is Census or population data

  • Notation is Often Greek letters

  • It is a fixed characteristic of the whole group you are studying.

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Statistic

  • Describes a sample (subset)

  • Value is Variable (depends on sample)

  • Source is Survey/sampling data

  • Notation is often roman letters

  • Purpose is to estimate the parameter

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Standard Deviation

a statistical measure quantifying the amount of dispersion or spread of data points relative to their mean (average). A low standard deviation indicates data points are clustered closely around the mean, while a high standard deviation indicates they are spread over a wider range. It is calculated as the square root of the variance

<p><strong><mark data-color="rgba(0, 0, 0, 0)" style="background-color: rgba(0, 0, 0, 0); color: inherit;">a statistical measure quantifying the amount of dispersion or spread of data points relative to their mean (average)</mark></strong><span>. A low standard deviation indicates data points are clustered closely around the mean, while a high standard deviation indicates they are spread over a wider range. It is calculated as the square root of the variance</span></p>
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Mean

Average, best for symmetric/normal distributions (e.g., human height) as it uses all data points. It is sensitive to outliers (extremely high or low values).

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Median

Middle Value, best for skewed distributions (e.g., salaries, home prices) or when outliers are present, as it is not heavily influenced by extreme values.

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IQR Rule

Q1-IQR*1.5 lower boundary and Q2+IQR*1.5 Upper Boundary

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Simple random sampling

Every person/item has an equal chance of being chosen.
Example: Randomly picking 50 student names from a school list.

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Systematic sampling

Choose every kth person/item after a random starting point.
Example: Pick every 10th student entering the library.

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Stratified sampling

Split the population into groups, then randomly sample from each group.
Example: Randomly choose students from each grade level.

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Cluster sampling

Split the population into groups, randomly choose whole groups, and survey everyone in them.
Example: Randomly choose 3 classrooms and survey all students in those rooms.

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A data set has sample standard deviation s = 0. What must be true?

ll data values are exactly the same.

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Histogram Best Uses

Best for showing the shape of numerical data.
Shows patterns like spread, center, skew, and peaks.

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Scatterplot Best Uses

Best for showing the relationship between two numerical variables.
Helps reveal trends, clusters, and outliers.

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Pie Chart/Bar Chart

Best for showing categorical data.
Pie charts show parts of a whole; bar charts make categories easy to compare.

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Box Plot

Best for showing the spread and summary of numerical data.
Shows median, quartiles, range, and possible outliers.

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term image

Zero

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<p>Which scenario fits a binomial distribution?</p>

Which scenario fits a binomial distribution?

B

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<p>In a binomial distribution, as n increases while p stays constant, what happens to E(X)?</p>

In a binomial distribution, as n increases while p stays constant, what happens to E(X)?

C