Sign Up Now
Get instant access to over 1 million+ study documents
OR
Already registered? click here to login
By creating your account, you agree to our terms of service, privacy policy and student honor code.
¶ … statistical analyses used.
List the statistical procedures used to describe the sample.
Power analysis was used in order to discover power of effect. The power was set to 0.8 with a significant level of 0.05. Differences between the intervention and the control group were tested with Pearson's Chi. A t-test was used for the other perimeters. ANCOVA was used for testing changes between the two groups over time.
Was the level of significance or alpha identified? If so, indicate the level (.05, .01, or .001).
The level of significance was described. The power of the effect size was set to 0.8 with a significant level of 0.05. 0.05 was used throughout as perimeter of significance.
Complete the table below with the analysis techniques conducted in the study:
Identify the purpose (description, relationships, or differences) of each analysis technique.
Power analyses was used in order discover whether the test actually did discover a difference that did exist, in other words that the test avoided a Type II error and actually did record a statistical significance. For this reasons, one needs a significantly large enough population. 8 or greater is generally the power that is used, in other words that there is an 80% chance that one should find a statistically significant difference when there is one.
Pearson's Chi was used to test for distribution in sex, education (health care workers), current smoking...
It is used to test whether the observed frequency differs from the expected distribution. It also tests the independence, in other words in this case to test whether obesity of workers was connected with any of these factors or was independent of them.
A t-test was used for the other perimeters. A t-test is used to see whether difference exists between two groups. Here it was used to see whether difference existed between control and experiment group.
ANCOVA was used for testing changes between the two groups over time.
2) List the statistical procedures.
Power analysis was used in order to discover power of effect. The power was set to 0.8 with a significant level of 0.05. Differences between the intervention and the control group were tested with Pearson's Chi. A t-test was used for the other perimeters. ANCOVA was used for testing changes between the two groups over time. ANCOVA tests the variance in 2 or more groups taking into accounts possibility of variance of other factors.
3) List the statistics.
the intervention group significantly reduced body weight with 3.6 kg (p < 0.001), BMI from 30.5 to 29.2 (p < 0.001), body fat percentage from 40.9 to 39.3 (p < 0.001), waist circumference from 99.7 to 95.5 cm (p < 0.001) and blood pressure from 134/85 to 127/80 mmHg (p < 0.001), with significant difference between the intervention and…
Figure 6 represents the cross-tabulation of religious service attendance with x-rated movie viewing. In this analysis, it is interesting to observe that weekly church attendance may "inoculate" respondents against watching an x-rated movie, but that no other level of religious involvement has a particular influence on porn consumption. Of the respondents who have seen an x-rated motive in the past year, their religious service attendance patterns follow the same
Statistical Techniques Introduction Statistics is defined as a methodology of gathering data, analyzing it, understanding the data and forming appropriate conclusions from the analysis. Not many subjects are as broad or have as many important applications as statistics (Wooldridge & Jeffrey, 2013). Mathematicians, scientists and researchers in general rely on statistics to interpret the information they collect or encounter in their specific fields of work. In general, nearly everything that covers the collection,
Management Strategy to Utilize Meta-Analysis Technique for Nuclear Energy and Waste Disposal and Create Social Sustainability A Dissertation Presented using the Meta-Analysis Technique Komi E Fiagbe Comment by Owner: This is exactly what I wanted to see Komi. Your literature review should also identify the 20 studies that you want to analyze to give your readers an understanding of what you are doing. I want you to email me all three
High School Longitudinal Study Dataset Using SPSS Software Scenarios 1. This section determines African citizen's perceptions about their current level of democracy. The study uses 2015 Afrobarometer data to determine whether the current level of African democracy is statistically different from the value of 6. Have series of reforms increased African views on the level of democracy? The study uses the following variables to answer the research question: Level of democracy: ten years ago
Outpatient Transition Clinics: A Mixed-Methods Study Protocol This a mixed method study with a controlled and retrospective design that involves interviews that are semi structured among healthcare experts, consultation observation focused on young people, and transferred between 2 to 4 years before the date of collecting data. Questionnaires among the youth are incorporated in the interviews (Sattoe, Peeters, Hilberink, Ista, & Staa, 2016). Patient experiences of decentralized acute healthcare services The study
U.S. technology in Thai hospitals will have a positive, negative or neutral effect on the mortality rate of patients in Thailand. U.S. hospitals currently offer patients some of the most modern and complex technology available. Patients whether at private or public facilities are very often afforded modern urgent care that reduces the likelihood of mortality from common and less common illness. The mortality ratio, or comparison of patients admitted