is closely corresponding to the approximation of df, where df=k-1. Thus, with the computed analysis, it is clear that one sample population does show a significant difference the other two. It can be assumed that Cycling is significantly different in terms of how many calories it burns compared to the other two sample groups. It is significantly lower in terms of how many calories it burns within the context in comparison to the other sampled activities of swimming and tennis. Swimming and Tennis are much closer, with less of a significant difference between them, showing much more correlation in regards to the amount of calories burned within the workout regime setting. Based on the analysis, however, it is clear hat Tennis burns the most calories out of the two listed activities with less of a significant difference. .
Question 3
Quality of Inpatient Treatment
In thus data set, forty patients represent the sample set to be used to determine the correlation between the number of visitations and perceived quality of the care based on the opinion of the patient. The patients were divided into visitor categories, in which 1=frequent, 2=occasional, and 3=rare. Then, treatment was valued between the scale of 1=good, 2=fair, and 3=poor. A Chi-square Test was then performed on the data set to determine if there was a significant difference between the number of visits and the perceived quality of care within the given set of surveyed patients.
Data Set
Chi-Square Test Results
Test Statistics
visitors treatment
Chi-Square
.050a
.650a
df
2
2
Asymp. Sig.
.975
.723
a. 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 13.3.
visitors
Observed N
Expected N
Residual
frequent
13
13.3
-.3
occasional
13
13.3
-.3
rare
14
13.3
.7
Total
40
treatment
Observed N
Expected N
Residual
good
11
13.3
-2.3
fair
14
13.3
.7
poor
15
13.3
1.7
Total
40
Table of Contents Introduction 3 Background 3 Hypothesis 7 Methods 8 Results 9 Table 1 Western Governor Township Race by Family History of Heart Disease 10 Table 3 Analysis of Variance Difference in Household Income by Race 11 Conclusion 12 References 14 List of Tables Table 1 Western Governor Township Race by Family History of Heart Disease 4 Table 2 Household Income and History of Disease 4 Table 3 Analysis of Variance Difference in Household Income by Race 5 Introduction Heart disease has been an
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D. Research questions. This study will be guided by the following three research questions: 1. Can high cholesterol levels be genetically related? 2. Can high cholesterol levels be anatomically induced? 3. Do high cholesterol levels always result from poor eating choices? E. Assumptions and Limitations. For the purposes of this study, it will be assumed that a chi-square analysis represents a superior methodology for the investigation of the above-stated general hypothesis. F. Definition of terms. 1.
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