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Exam (elaborations)

NSG 522 Pre Midterm Questions and Answers 2024/2025

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  • NSG 522

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 val...

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  • October 11, 2024
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NSG 522 Pre Midterm Questions and
Answers 2024/2025
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

 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




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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

 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



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Standard Deviation

 The average distance that values in a distribution are from the center.


Z-Scores

 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

 Only mode can only be used for nominal variables


How ordinal data can be summarized using descriptive statistics




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