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NURS 5366 Week 5 Nursing Research Statistics Exam 100% Pass
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NURS 5366 Week 5 Nursing ResearchStatistics Exam 100% Pass
Chapter 3 - Answer DESCRIPTIVE STATISTICS, PROBABILITY, AND MEASURE OF
CENTRAL TENDENCY
descriptive Statistics - Answer computed to reveal characteristics of the sample and to
describe study variable
How to describe a sample - Answer create a frequency distribution of the variable or
variable being studied
-is a plot of one variable, whereby the x-axis consists of possible values of that variable,
and the y - axis is frequency of each value
Inferential Statistics - Answer computed to draw conclusions and make inferences
about the greater population, based on the sample data set.
Bi Modal - Answer having or providing two modes,,methods, systems, etc.
Having 2 values/categories that have highest occurrence and are equal frequencies
Central Tendency Answer indicator of center of data
-nominal variable= categorical differences EX: gender (tendency of samples of given
measurement to cluster around some central value.
Measures of Central tendency are descriptive statistics.
Statistics represent measures of central tendency are mean, median and mode (all are
representations or descriptions of the center or middle of a frequency distribution
mean= arithmetic average of all of the values of a variable.
,median= exact middle value ( or average of the middle two values if there is an even
number of observations)
mode= most commonly occurring value in a data set. can have more than one mode in a
sample.
in a normal curve, mean, median and mode are equal or approximately equal
Multimodal - Answer having more than 2 modes
Unimodal - Answer When distribution only has one mode
-the frequencies progressively decline as they move away from the mode. Symmetrical
distributions are usually uni modal.
bimodal - Answer means you have not defined your population if you find a bimodal
Mode - Answer most frequently occurring measure (value or category) in (distribution)
data
Mean - Answer called location parameter
most frequent central tendency but requires interval and ratio data
sum of values divided by total # of observations
Median-Answer for ordinal, interval and ratio data, value in middle when you line up all
measured values in order from least to most, 50th percentile value.
dat a t ha t i s rank orderedordinal, interval and ratio
has second measure of central tendencies: median
Range-Answer difference between maximum value and minimum value of variable in
distribution
, probability - Answer chance that particular outcome will occur after an event
**long-run relative frequency EX: dice/100 rolls
Standard Deviation - Answer average distance of values from variable mean. Large SD =
spreading among variable in data set is large.
FORMULA :
-1st find mean (average) then place in formula then square root (check mark with x)
-FORMULA to create SD variable with population data;
Long-Run relative frequency - Answer
Frequency Distribution-Answer lists all possible outcomes of experiment and tallies
number of times each outcome occurs. The tallies are then graphed to make them
easier to see and understand.
Probability Distribution -Answer graphs the probability of all possible outcomes of
variable instead of frequency. Shows the probability of all possible outcomes of variable
looks a lot like frequency, but represent 2 very different concepts.
Sampling Distribution-answer plots实际oly realised frequencies of a statistic versus
range of possible values that statistics can take
-
Normal Distribution-answer probability dist. where mean, median and mode are equal
with a bell-shaped distribution curve.
68% of area under curve falls within one SD of mean, 95% of area under curve falls it
within two DS of mean, increasing mean makes curve shift to right, decreasing ships
curve to left, decreasing variance makes graph look taller and skinnier, increasing
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