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NURS 5366 Week 5 – Nursing Research Statistics | 250+ Exam Q&A on Descriptive Stats, Normal Curve, Chi-Square & Power (2026)

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This document contains more than 250 comprehensive exam questions and answers for NURS 5366 Week 5 Nursing Research Statistics, covering descriptive statistics, probability theory, normal distribution, measures of central tendency, validity and reliability testing, hypothesis testing, chi-square analysis, sample size, effect size, and power. Across 28 detailed pages , the material systematically reviews mean, median, mode, range, standard deviation, frequency distributions, probability distributions, sampling distributions, z-scores, skewness, kurtosis, and the characteristics of symmetrical and asymmetrical curves. The content provides in-depth explanations of the normal curve, alpha levels (.05, .01, .001), type I and type II errors, null and alternative hypotheses, decision theory, one-tailed versus two-tailed testing, and interpretation of statistical significance. It also covers measurement tool evaluation including content validity, convergent and divergent validity, reliability (internal consistency, inter-rater reliability, stability, homogeneity, equivalence), sensitivity, specificity, positive and negative predictive value (PPV and NPV), and screening test accuracy using 2x2 tables. Additional sections address chi-square testing for nominal and ordinal data, degrees of freedom (including 2x2 table rules), Fisher’s exact test, Yates’ continuity correction, McNemar test, effect size interpretation, power analysis calculations, and the relationship between sample size and statistical power. Practical examples illustrate probability applications, clinical screening test evaluation, and statistical reasoning in nursing research design. This resource is especially relevant for students enrolled in: NURS 5366 Nursing Research Graduate Nursing Research Methods Evidence-Based Practice and Biostatistics courses MSN core curriculum research modules DNP quantitative research foundations It is ideal for graduate nursing students preparing for statistics-focused exams, midterms, and comprehensive research methodology assessments. The content aligns closely with standard graduate nursing research textbooks such as Nursing Research: Generating and Assessing Evidence for Nursing Practice by Polit and Beck, particularly chapters addressing descriptive and inferential statistics, measurement validity and reliability, hypothesis testing, chi-square analysis, and statistical power in research design. Keywords: NURS 5366 Week 5 2026, nursing research statistics exam questions, descriptive statistics mean median mode, standard deviation formula, normal distribution bell curve, alpha level .05 significance, type I and type II errors, null hypothesis testing, one tailed vs two tailed test, z score interpretation, skewed distribution positive negative, kurtosis leptokurtic platykurtic, chi square 2x2 table, Fisher exact test nursing research, Yates continuity correction, sensitivity specificity PPV NPV, effect size interpretation, power analysis sample size, degrees of freedom chi square, validity and reliability nursing instrument

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NURS 5366 Week 5 Nursing
Research Statistics 2026 Exam
Questions and Answers | A+
Score Assured



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


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




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