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Exam (elaborations)

NSG 522 Pre Midterm Questions and Correct Answers | Latest Update

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Frequencies Just the count or number of observations in each category. Abbreviated as 'n' or 'f' Relative Frequency The number of times a particular observation occurs divided by the total number of observations. Frequency Distribution A summary of the numerical counts of the values or categories of a measurement. Cumulative Frequency The number of observations with a value less than the maximum value of the variable interval. Cumulative Relative Frequency Master01 | October, 2024/2025 | Latest update 1 | P a g e | © copyright 2024/2025 | Grade A+ A number calculated by adding together all the relative frequencies less than or equal to the selected upper limit point. Central Tendency An indicator at the center of the data. Mean The arithmetic average of the observations Median The center or middle of the observations when observations are placed in order from smallest to largest Mode The most commonly occurring number in the data Measures of spread The spread or dispersion of observations around the mean Statistical Range Master01 | October, 2024/2025 | Latest update 1 | P a g e | © copyright 2024/2025 | Grade A+ The difference between the maximum and minimum values in a distribution. Reported as a single number Epidemiological Range The smallest and largest values of the observations. Reported as two numbers Percentiles The percentage of observations that fall below a certain value Quartiles The values for wh

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Uploaded on
October 3, 2024
Number of pages
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2024/2025
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1 | P a g e | © copyright 2024/2025 | Grade A+




NSG 522 Pre Midterm Questions
and Correct Answers | Latest
Update
Frequencies


✓ Just the count or number of observations in each category.

Abbreviated as 'n' or 'f'




Relative Frequency


✓ The number of times a particular observation occurs divided by the

total number of observations.




Frequency Distribution


✓ A summary of the numerical counts of the values or categories of a

measurement.




Cumulative Frequency


✓ The number of observations with a value less than the maximum value

of the variable interval.




Cumulative Relative Frequency


Master01 | October, 2024/2025 | Latest update

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

✓ A number calculated by adding together all the relative frequencies

less than or equal to the selected upper limit point.




Central Tendency


✓ An indicator at the center of the data.




Mean


✓ The arithmetic average of the observations




Median


✓ The center or middle of the observations when observations are

placed in order from smallest to largest




Mode


✓ The most commonly occurring number in the data




Measures of spread


✓ The spread or dispersion of observations around the mean




Statistical Range



Master01 | October, 2024/2025 | Latest update

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

✓ The difference between the maximum and minimum values in a

distribution. Reported as a single number




Epidemiological Range


✓ The smallest and largest values of the observations. Reported as two

numbers




Percentiles


✓ The percentage of observations that fall below a certain value




Quartiles


✓ The values for which 25% (Q1), 50% (Q2), and 75% (Q3) of the

observations fall below.




Interquartile range


✓ The difference between the first (Q1) and third (Q3) quartiles




Standard Deviation


✓ The average distance that values in a distribution are from the center.




Z-Scores

Master01 | October, 2024/2025 | Latest update

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

✓ A measure that indicates how many standard deviations a value is

from the mean value.




Normal Distribution


✓ A probability distribution in which the mean, median, and mode are

equal with a bell-shaped distribution curve




Outliers


✓ 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


✓ 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



Master01 | October, 2024/2025 | Latest update

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