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3 pages/β‰ˆ825 words
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Style:
APA
Subject:
Mathematics & Economics
Type:
Research Paper
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English (U.S.)
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Topic:

Drawing Inference About Population Means and Proportions

Research Paper Instructions:

Module 5 - SLP DRAWING INFERENCE ABOUT POPULATION MEANS AND PROPORTIONS Write up your final analysis in which you quantitatively summarize your findings. Create a summary graph in which you display your data. Be sure to state the limitations to your approach as follows: discuss the possibility for measurement error, and describe how it may have applied to your procedure for data collection. Discuss also the total number of measurements that you took (i.e. your sample size) and whether it is large enough to paint an accurate picture. The goal for the final SLP will be synthesize the concepts that you’ve learned in the course and apply them. 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. Length: 2–3 pages typed and double-spaced. DRAWING INFERENCE ABOUT POPULATION MEANS AND PROPORTIONS Required Reading Norman, G., and Streiner, D. (2008). Comparing Two Groups: the t-Test. Biostatistics The Bare Essentials. 3rd Edition. BC Decker Inc. PMPH USA, Ltd. Shelton, CT. eISBN: 9781607950585 pISBN: 9781550093476. Available in Ebrary, accessed via Trident’s online library. Norman, G., and Streiner, D. (2008). Chapter the Twenty First: Tests of Significance for Categorical Frequency Data (pages 235-241). In: Biostatistics The Bare Essentials. 3rd Edition. BC Decker Inc. PMPH USA, Ltd. Shelton, CT. eISBN: 9781607950585 pISBN: 9781550093476. Available in Ebrary, accessed via Trident’s online library. Peat, J. and Barton, B. (2008). Chapter 6: Continuous Data Analyses: Correlation and Regression. Medical Statistics and Critical Appraisal. Wiley. Chichester, England. Available in Ebrary, accessed via Trident’s online library. *Please note that you only need to read the first section on correlation; the section on regression is an advanced topic beyond the scope of this course.

Research Paper Sample Content Preview:

BHS220-Mod5 SLP
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Samples from the same population typically have different means, but statistical analysis helps to show whether the samples come from the same population. In order to make sense of differences and provide a way to compare the groups, it is necessary to rely on different comparison methods including the student t-test (Norman & Streiner, 2008). In the case of student, t-test, both the mean and the standard deviation are necessary to conduct statistical analysis. Upon establishing the tests statistic through and hypothesis testing it is possible to identify whether the hypothesis are correct so long as there are no errors made. This is a quantitative summary of findings on time spent exercising for fifteen days.  Figure 1: Summary graph of data
Data was collected on time spent exercising for fifteen days, beginning with ten days and subsequent five days. In order to ensure accuracy, it was necessary to rely on a stopwatch and a pedometer. The exercises incorporated both aerobic exercises and muscle strengthening activities. A further look into the central measures of tendency, for the two sessions separately and in combination, showed, that the range was still the same. Nonetheless, the role of skewness in the data did not feature, since the exercise was merely carried out after observation. In any case, the observed data would ordinarily differ from time to time rather than follow a predictable pattern. Even though, there were no big discrepancies, it is likely that if the exercises had not been carried out regularly, then the results would have been ever more divergent.
The sample was collected over fifteen days and recorded exercise time, but there is a need to collected more data as this would validate the results of the study. Additionally, a larger sample would have been more accurate in presenting the data and information. In any case, such data would likely have been less skewed if ex...
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