NURS 5366 Week 5 Nursing Research Statistics Exam – Study Guide & Practice Questions
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 tally 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
,NURS 5366 Week 5 Nursing Research Statistics Exam – Study Guide & Practice Questions
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.
-data that is rank ordered (ordinal, 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 :
, NURS 5366 Week 5 Nursing Research Statistics Exam – Study Guide & Practice Questions
-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 poss. outcomes of experiment and tallies # of times each
outcome occurs. Tallies are then graphed to make them easier to visualize and comprehend
Probability Distribution - (ANSWER)graphs the prob. of all poss. outcomes of var. instead of frequency.
Shows prob. of all poss outcomes of var. looks alot like frequency, but represent 2 very distinct
concepts.
Sampling Distribution - (ANSWER)plots (actual) realized 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 with in 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 variance = shorter and fatter
-the theoretical normal curve is symetrical and unimodal and has continuous values.
mean, median and mode are equal
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 tally 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
,NURS 5366 Week 5 Nursing Research Statistics Exam – Study Guide & Practice Questions
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.
-data that is rank ordered (ordinal, 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 :
, NURS 5366 Week 5 Nursing Research Statistics Exam – Study Guide & Practice Questions
-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 poss. outcomes of experiment and tallies # of times each
outcome occurs. Tallies are then graphed to make them easier to visualize and comprehend
Probability Distribution - (ANSWER)graphs the prob. of all poss. outcomes of var. instead of frequency.
Shows prob. of all poss outcomes of var. looks alot like frequency, but represent 2 very distinct
concepts.
Sampling Distribution - (ANSWER)plots (actual) realized 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 with in 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 variance = shorter and fatter
-the theoretical normal curve is symetrical and unimodal and has continuous values.
mean, median and mode are equal
