NSG 522 Pre-Midterm Questions And Answers With Latest Study Solutions
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Course
NSG 522
Institution
NSG 522
NSG 522 Pre-Midterm Questions And Answers With Latest Study Solutions
Frequencies ANS Just the count or number of observations in each category. Abbreviated as 'n' or 'f'
Relative Frequency ANS The number of times a particular observation occurs divided by the total number of observations.
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NSG 522 Pre-Midterm Questions And Answers With
Latest Study Solutions
Frequencies ANS Just the count or number of observations in each category. Abbreviated as 'n' or 'f'
Relative Frequency ANS The number of times a particular observation occurs divided by the total number of
observations.
Frequency Distribution ANS A summary of the numerical counts of the values or categories of a measurement.
Cumulative Frequency ANS The number of observations with a value less than the maximum value of the
variable interval.
Cumulative Relative Frequency ANS A number calculated by adding together all the relative frequencies less
than or equal to the selected upper limit point.
Central Tendency ANS An indicator at the center of the data.
Mean ANS The arithmetic average of the observations
Median ANS The center or middle of the observations when observations are placed in order from smallest to
largest
Mode ANS The most commonly occurring number in the data
Measures of spread ANS The spread or dispersion of observations around the mean
Statistical Range ANS The difference between the maximum and minimum values in a distribution. Reported as
a single number
Epidemiological Range ANS The smallest and largest values of the observations. Reported as two numbers
Percentiles ANS The percentage of observations that fall below a certain value
,Quartiles ANS The values for which 25% (Q1), 50% (Q2), and 75% (Q3) of the observations fall below.
Interquartile range ANS The difference between the first (Q1) and third (Q3) quartiles
Standard Deviation ANS The average distance that values in a distribution are from the center.
Z-Scores ANS A measure that indicates how many standard deviations a value is from the mean value.
Normal Distribution ANS A probability distribution in which the mean, median, and mode are equal with a bell-
shaped distribution curve
Outliers ANS 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 ANS 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 ANS Only mode can only be used for nominal
variables
How ordinal data can be summarized using descriptive statistics ANS Data that is rank ordered can be described
using the median
How interval/ratio data can be summarized using descriptive statistics ANS Data that is continuous can be
described using the mode, median, or mean.
Best graphical display of nominal data ANS Bar charts. Only shows a difference and is not rank ordered.
How to determine normality using histograms ANS Mean, median, and mode are the same. When cut in half,
one side mirrors the other
, How to determine normality using the Shapiro-Wilk test ANS If the p-value is >.05, that means that there is
NOT a statistically
significant difference between the distribution of your variable and a
normal distribution, so you can consider your data normally distributed.
If the p-value is <.05, that means that there is a statistically
significant difference between the distribution of your variable and a
normal distribution, so you should consider your data NOT normally
distributed.
Determine whether data contains outliers using a box and whisker plot w/tukey fences ANS Looking for values
outside of the fences. The outlier will be more than 1.5 times the IQR above or below the edges of the box.
Determine whether data contains outliers using standard deviations from the mean ANS Determine whether the
measurements are more than 3 standard deviations from the mean.
Descriptive statistics that can be used w/nominal data ANS Frequencies and Relative frequencies, mode
Bar Charts
Descriptive statistics that can be used w/ordinal data ANS Frequencies, Relative frequencies, cumulative
frequencies, cumulative percentages
Visual descriptive statistics that can be used w/ordinal data ANS Histograms preferred, bar chart okay if
program is unable to run it.
Descriptive statistics to use w/continuous data ANS Measures of central location
Measures of spread
Graphic statistical displays to use w/continuous data ANS Histograms
Stem-and-Leaf Plots
Box-and- Whisker Plots w/Tukey Fences
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