NSG 522 Pre Midterm UPDATED Exam Questions and CORRECT Answers
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Course
NSG 522
Institution
NSG 522
NSG 522 Pre Midterm UPDATED Exam
Questions and CORRECT Answers
Frequencies - Correct Answer- Just the count or number of observations in each category.
Abbreviated as 'n' or 'f'
Relative Frequency - Correct Answer- The number of times a particular observation occurs
divided by the total num...
NSG 522 Pre Midterm UPDATED Exam
Questions and CORRECT Answers
Frequencies - Correct Answer- Just the count or number of observations in each category.
Abbreviated as 'n' or 'f'
Relative Frequency - Correct Answer- The number of times a particular observation occurs
divided by the total number of observations.
Frequency Distribution - Correct Answer- A summary of the numerical counts of the values
or categories of a measurement.
Cumulative Frequency - Correct Answer- The number of observations with a value less than
the maximum value of the variable interval.
Cumulative Relative Frequency - Correct Answer- A number calculated by adding together
all the relative frequencies less than or equal to the selected upper limit point.
Central Tendency - Correct Answer- An indicator at the center of the data.
Mean - Correct Answer- The arithmetic average of the observations
Median - Correct Answer- The center or middle of the observations when observations are
placed in order from smallest to largest
Mode - Correct Answer- The most commonly occurring number in the data
Measures of spread - Correct Answer- The spread or dispersion of observations around the
mean
Statistical Range - Correct Answer- The difference between the maximum and minimum
values in a distribution. Reported as a single number
,Epidemiological Range - Correct Answer- The smallest and largest values of the
observations. Reported as two numbers
Percentiles - Correct Answer- The percentage of observations that fall below a certain value
Quartiles - Correct Answer- The values for which 25% (Q1), 50% (Q2), and 75% (Q3) of the
observations fall below.
Interquartile range - Correct Answer- The difference between the first (Q1) and third (Q3)
quartiles
Standard Deviation - Correct Answer- The average distance that values in a distribution are
from the center.
Z-Scores - Correct Answer- A measure that indicates how many standard deviations a value is
from the mean value.
Normal Distribution - Correct Answer- A probability distribution in which the mean, median,
and mode are equal with a bell-shaped distribution curve
Outliers - Correct Answer- 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 - Correct Answer- 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 - Correct Answer- Only
mode can only be used for nominal variables
, How ordinal data can be summarized using descriptive statistics - Correct Answer- Data that
is rank ordered can be described using the median
How interval/ratio data can be summarized using descriptive statistics - Correct Answer- Data
that is continuous can be described using the mode, median, or mean.
Best graphical display of nominal data - Correct Answer- Bar charts. Only shows a difference
and is not rank ordered.
How to determine normality using histograms - Correct Answer- 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 - Correct Answer- 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 -
Correct Answer- 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 - Correct
Answer- Determine whether the measurements are more than 3 standard deviations from the
mean.
Descriptive statistics that can be used w/nominal data - Correct Answer- Frequencies and
Relative frequencies, mode
Bar Charts
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