Statistics Exam Two

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Last updated 4:10 AM on 10/17/26
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29 Terms

1
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What is a variable in statistics?

A characteristic measured on a subject, which can be quantitative or categorical.

2
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What is measurement error?

The difference between the measured value and the true value, which can be systematic or random.

3
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Define bias in measurement.

Systematic over- or under-measurement that affects accuracy.

4
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What does precision refer to in measurements?

How consistent repeated measurements are, regardless of bias.

5
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What is random error?

Unpredictable variation in measurements that can be reduced by averaging.

6
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How do you calculate range?

Range = maximum value - minimum value.

7
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What is standard deviation (SD)?

A measure that describes the typical distance of data points from the mean.

8
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What does validity mean in measurement?

A measure is valid when it accurately measures the variable or construct it is intended to measure.

9
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What is sensitivity in test performance?

The proportion of actual positives correctly identified, calculated as TP/(TP + FN).

10
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What is specificity in test performance?

The proportion of actual negatives correctly identified, calculated as TN/(TN + FP).

11
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What is a pie chart used for?

To represent categorical data where categories are mutually exclusive and proportions sum to 1.

12
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What is a bar graph?

A graph that displays categorical data with categories on the x-axis and counts or proportions on the y-axis.

13
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What is a time-series plot?

A graph that shows data points in time order, useful for identifying trends and patterns.

14
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What is a histogram?

A graphical representation of the distribution of numerical data using bins for intervals on the x-axis.

15
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What is a stem-and-leaf plot?

A plot that displays quantitative data while preserving the original values, useful for small datasets.

16
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What is the five-number summary?

A summary that includes the minimum, Q1, median, Q3, and maximum of a dataset.

17
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What does IQR stand for?

Interquartile Range, calculated as Q3 - Q1, representing the spread of the middle 50% of data.

18
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What is a boxplot?

A graphical representation that summarizes data using the five-number summary and identifies outliers.

19
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What is a normal distribution?

A symmetric, bell-shaped distribution characterized by its mean and standard deviation.

20
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What is the Empirical Rule?

In a normal distribution, approximately 68% of data falls within 1 SD, 95% within 2 SDs, and 99.7% within 3 SDs.

21
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What is a z-score?

A measure that indicates how many standard deviations an observation is from the mean.

22
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What does the Law of Large Numbers state?

As the number of trials increases, sample results tend to settle near the expected long-run pattern.

23
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How do you calculate the number of possible sequences in trials?

By raising the number of outcomes per trial to the power of the number of trials.

24
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What is the formula for calculating sensitivity?

Sensitivity = TP / (TP + FN).

25
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What is the formula for calculating specificity?

Specificity = TN / (TN + FP).

26
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What does the 1.5 × IQR rule help identify?

It helps identify outliers in a dataset.

27
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What does a right-skewed distribution indicate about the mean and median?

In a right-skewed distribution, the mean is greater than the median.

28
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What is the upper outlier fence formula?

Upper fence = Q3 + 1.5(IQR).

29
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What is the z-score for an observation of 80 if the mean is 70 and SD is 5?

z = (80 - 70) / 5 = 2.