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NURS 5366 week 5 Nursing Research Statistics Questions and Answers (100% Pass)
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descriptive Statistics computed to reveal characteristics of the sample and to describe study variable How to describe a sample 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 ...

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  • October 2, 2024
  • 34
  • 2024/2025
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  • nurs 5366 week 5 nursing research statistics ques
  • descriptive statistics computed to reveal charac

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1 | P a g e | © copyright 2024/2025 | Grade A+




NURS 5366 week 5 Nursing Research
Statistics Questions and Answers
(100% Pass)
Chapter 3


DESCRIPTIVE STATISTICS, PROBABILITY, AND MEASURE OF CENTRAL TENDENCY




descriptive Statistics


✓ computed to reveal characteristics of the sample and to describe

study variable




How to describe a sample


✓ 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


✓ computed to draw conclusions and make inferences about the

greater population, based on the sample data set.




Master01 | September, 2024/2025 | Latest update

, 1 | P a g e | © copyright 2024/2025 | Grade A+

Bi Modal


✓ having or providing two modes, ,methods, systems, etc.

-having 2 values/categories that have highest occurrence and are equal

frequencies




Central Tendency


✓ 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

Master01 | September, 2024/2025 | Latest update

, 1 | P a g e | © copyright 2024/2025 | Grade A+




Multimodal


✓ having more than 2 modes




Unimodal


✓ When distribution only has one mode

-the frequencies progressively decline as they move away from the mode.

Symmetrical distributions are usually uni modal.




bimodal


✓ means you have not defined your population if you find a bimodal




Mode


✓ most frequently occurring measure (value or category) in (distribution)

data




Mean


✓ called location parameter

most frequent central tendency but requires interval and ratio data


-sum of values divided by total # of observations



Master01 | September, 2024/2025 | Latest update

, 1 | P a g e | © copyright 2024/2025 | Grade A+




Median


✓ 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


✓ difference between maximum value and minimum value of variable in

distribution




probability


✓ chance that particular outcome will occur after an event

**long-run relative frequency EX: dice/100 rolls




Standard Deviation


✓ average distance of values from variable mean. Large SD = spreading

among variable in data set is large.

FORMULA :




Master01 | September, 2024/2025 | Latest update

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