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BHS 220 Introduction to Probability Theory and Heath Statistics (Statistics Project Sample)


BHS220 module 4 SLP Module 4 - SLP INTRODUCTION TO HYPOTHESIS TESTING For the fourth component of the Session Long Project, write a 2- to 3-page essay in which you continue to collect data for five days. Continue to discuss the spread of the data that you’ve been collecting by computing the standard deviation of measurements that you’ve taken so far. Show your work. Be sure to dicuss the concept of standard deviation in response. SLP Assignment Expectations Use the information in the modular background readings as well as resources you find through ProQuest or other online sources. Please be sure to cite all sources and provide a reference list at the end of the paper. Submit the paper as a Word document through the link provided for the assignment. BHS220 Module 4 - Background INTRODUCTION TO HYPOTHESIS TESTING Background Reading Required Reading Michelson, S. & Schofield, T. (2002). Chapter 2: Inference (pages 45-53). In: The Biostatistics Cookbook: The Most User-Friendly Guide for the Bio/Medical Scientist. Kluwer Academic Publishers. Available in Ebrary, accessed via Trident’s online library. Additional Reading (Optional) Davis, R. and Mukamal, K. (2006). Statistical Primer for Cardiovascular Research: Hypothesis testing. Retrieved from McDonald, JH (2009). Basic concepts of hypothesis testing. Retrieved from Johnson, L. (2008). Principles of Hypothesis Testing for Public Health. National Center for Complementary and Alternative Medicine. Retrieved from Additional Resources (Optional) Creative Heuristics (2011, Dec.). Hypothesis tests, p-value - Statistics Help. Retrieved from Creative Heuristics (2011, Oct. ) Understanding the p-value - Statistics Help. Retrieved from Stenson, E. (2012, Apr.) Basic statistics tutorial 45 Hypothesis testing (one-sided), sample and population mean (z). Retrieved from


BHS 220 Introduction to Probability Theory and Heath Statistics
Module 4 - SLP Introduction to Hypothesis Testing
Introduction to Probability Theory and Heath Statistics
September 12, 2014
The concept of hypothesis testing focuses on evaluating the probability of getting observed results through the P-value (Davis & Mukamal, 2006). The measures of spread are potentially useful in estimation and prediction. Nonetheless, the measures typically indicate how observations are spread out and scattered. As the number of observations increases, the data is likely to have a normal distribution, but it can also be skewed to the right or left. The standard deviation and the range are the most common measures of variability. The spread of the observation also changes with an increase in the umber of observation. Similarly, one is unlikely to get the same data observations, but the data distribution for different observations is similar, as the samples represent the population characteristics
DayExercise timedeviation Square deviation 112-4.419.36213-3.411.56315-1.41.964170.60.365181.62.566203.612.96715-1.41.968170.60.36916-0.40.1610170.60.3611181.62.5612170.60.361314-2.45.7614192.66.7615181.62.56Total246069.6Mean16.4Variance4.97S.D 2.23skew-0.494
Like the data set from the previous session, the range is the simple measure of variability taking into account the difference between the lowest and the highest value. Hence, the value is still 8 being the difference between 20 and 12, as for the five subsequent days, the highest exercise time was 19 minutes. This shows that the spread has changed minimally, but the measure is still inadequate to capture the new data set. The interquartile range is related to the range, and takes into account the difference between the upper and lower quartile. The median of the ranges betwee...
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