NSG 522 Pre Midterm Questions
and Correct Answers | Latest
Update
Frequencies
✓ Just the count or number of observations in each category.
Abbreviated as 'n' or 'f'
Relative Frequency
✓ The number of times a particular observation occurs divided by the
total number of observations.
Frequency Distribution
✓ A summary of the numerical counts of the values or categories of a
measurement.
Cumulative Frequency
✓ The number of observations with a value less than the maximum value
of the variable interval.
Cumulative Relative Frequency
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✓ A number calculated by adding together all the relative frequencies
less than or equal to the selected upper limit point.
Central Tendency
✓ An indicator at the center of the data.
Mean
✓ The arithmetic average of the observations
Median
✓ The center or middle of the observations when observations are
placed in order from smallest to largest
Mode
✓ The most commonly occurring number in the data
Measures of spread
✓ The spread or dispersion of observations around the mean
Statistical Range
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✓ The difference between the maximum and minimum values in a
distribution. Reported as a single number
Epidemiological Range
✓ The smallest and largest values of the observations. Reported as two
numbers
Percentiles
✓ The percentage of observations that fall below a certain value
Quartiles
✓ The values for which 25% (Q1), 50% (Q2), and 75% (Q3) of the
observations fall below.
Interquartile range
✓ The difference between the first (Q1) and third (Q3) quartiles
Standard Deviation
✓ The average distance that values in a distribution are from the center.
Z-Scores
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✓ A measure that indicates how many standard deviations a value is
from the mean value.
Normal Distribution
✓ A probability distribution in which the mean, median, and mode are
equal with a bell-shaped distribution curve
Outliers
✓ An extreme value of a variable, one that is outside the expected
range. Defined as a value that is more than 1.5x the interquartile range
above or below the edges of the box.
Shapiro Wilkes Test
✓ A test for presence/absence of normality to determine what type of
statistics can be used. If the p-value is > or = to .05, there is NOT a
statistically significantly difference in distribution = a NORMAL
DISTRIBUTION.
If p-value is < .05, there is a statistically significant difference between the
distribution of the variable. NOT NORMAL DISTRIBUTION
How nominal data can be summarized using descriptive statistics
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