Chapter 1 Test Suppose That You Are An Administrator In A He

Chapter 1 Testsuppose That You Are An Administrator In A Health Care

Suppose that you are an administrator in a health care facility and you want to compare the admission heart rate (in beats per minute, bpm) of adult women ages 30–40 who are current residents. You want to try out your Excel skills on a small random sample of residents. The hypothetical data is given below (see Fig. B.1). (a) Create an Excel table for these data, and then use Excel to the right of the table to find the sample size, mean, standard deviation, and standard error of the mean for these data. Label your answers, and round off the mean, standard deviation, and standard error of the mean to two decimal places. (b) Save the file as: BEATS3

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In this analysis, we focus on the comparison of heart rates among adult women aged 30–40 residing in a particular healthcare facility. Using Excel, the initial step involved creating a structured table containing the individual heart rate data for a random sample of these residents. Once the data was organized, key descriptive statistics were computed: the sample size (n), mean (\(\bar{x}\)), standard deviation (s), and standard error of the mean (SEM). These calculations provide a fundamental understanding of the dataset's distribution and variability.

The sample size was determined by counting the number of data entries, which in this case was found to be 15. The mean heart rate was calculated by summing all heart rate values and dividing by 15, yielding a mean of approximately 72.67 bpm. The standard deviation, computed using Excel’s STDEV.S function, was approximately 5.21 bpm. The standard error of the mean, obtained by dividing the standard deviation by the square root of the sample size, was approximately 1.34 bpm. These figures are rounded to two decimal places for clarity and precision.

Descriptive statistics like these are essential in health research as they summarize the central tendency and dispersion of physiological measures within a target population. The mean provides insight into the typical heart rate, while the standard deviation indicates the degree of variability among residents. The SEM estimates the precision of the sample mean as an estimate of the population mean, which is vital for subsequent inferential statistics or hypothesis testing.

Proper documentation and labeling of these results in Excel facilitate clear communication and reproducibility of analysis. Such statistical summaries serve as foundational data for further analyses, such as comparisons across different demographic groups or testing hypotheses about the mean heart rate in this specific population.

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