Week 7 Assignment

I think this because the heterogeneity of variance should be accounted for due to how the assumptions of normality were not met. I think this lack of normality is grounds for abandoning a conventional omnibus ANOVA due to the increased risk for a type I error. Allowing for separate variances results in a more powerful test due to the greater difference between the means of the groups. Controlling for experiment-wise alpha results in a less powerful test than not controlling for experiment-wise alpha. Tukey-type post hoc procedures for pairwise comparisons tend to be less powerful than a priori Bonferroni-type

1.) Design an if-then statement that assigns 20 to the variable y and assigns 40 to the variable z if the variable x is greater than 100. (Simple if statement)

Lab Report Lesson 1 – Plan Your Experiment Aim: How does changing the mass of liver placed inside hydrogen peroxide affect the amount of oxygen formed? Identify factors, which affect: ______the amount of oxygen formed_______. Hypothesis: If the mass of liver increases when put in to the same amount of Hydrogen Peroxide, then more oxygen will be produced in the same amount of time.

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There is a statistical difference in the current level of democracy between North and South Africa.

When I first took the test to see what I scored, I was surprised with many of my results.

At about 6:08am, on October 4, 2009, Trisha Oliver, a resident of Cranston Rhode Island called 911 reporting that her six-year-old son, Marco Nieves, stopped breathing. Emergency authorities took Marco to Hasbro Children's Hospital, where he was found to be in full cardiac arrest. He later died after 11 hours attempt to save his life. At about 6:20am, Sgt. Michael Kite of the Cranston Police Department had arrived at the apartment, where he found Oliver, her boyfriend Michael Patino, and their 14-month-old daughter, Jazlyn Oliver grieving the loss of their loved one. Officer Kite noticed a few odd things about the apartment where Marco suffered his cardiac arrest. Among these things was a

A hypothesis is tested through an experiment. To have effective testing, the experiment must have controlled variables, one control (without independent variable), and an experimental group.

This paper is about the how the overall objectives of the entire course correlates with the assignments disseminated to students over the past eight weeks. The first paragraph of the first section of this paper depicts how the assignment in week correlated with the class objectives for the week one by emphasizing the major elements of local, national and global environmental emergency prepared as donated in the objectives. The subsequent paragraphs of this paper also show how the assignment for week two through week eight correlated with the objectives set forth for the class.

For many of the articles, two tests were run for statistical analysis. A vast majority were using the ANOVA test, however some were using Chi square tests to analyze the difference between two categorical variables. The ANOVA test was done to analyze the means between different groups being tested. This test determined whether the means between groups are statistically significant from each other

ANOVA is simply an analysis of variance measure in statistics that is used to compare the means, or average, of more than two groups. It tests for significant differences, or differences that are large enough to effect or change the study outcomes. It analyzes variances between and within the study groups and can test several null hypothesis, or claims being tested, at the same time. It is also used to compare the variances between the group members as well as between the individual sample groups.

What you need: One group of participants measured on the same scale on three different occasions or under three different conditions, or each person measured on three different questions or items ( using the same scale). This involves teo variables:

Analysis of variance (ANOVA) is an inferential procedure used to test a hypothesis by evaluating the mean differences between two or more treatment conditions (Gravetter & Wallnau, 2014). Since ANOVA can have multiple variables, independent and quasi-independent variable are called factors; and the various conditions are called levels of the factor (Gravetter & Wallnau, 2014). Therefore, researchers would use ANOVA when there are multiple factors. ANOVA can basically be used anytime a t-test would be used, but can also be used by researchers when there are more than

Select (Overall) in the Factor(s) and Factor Interactions box and click on the arrow beside the Display Means for box. This moves (Overall) into the Display Means for box. Repeat the procedure for I_level, T_size, and I_level*T_size. Next, click on the Descriptive Statistics box, Estimates of effect size box, and the Homogeneity tests box. Then click on the Continue button to return to the Univariate window. Click on the OK button in the Univariate window to obtain the ANOVA output shown here.

Quantitative research design is the standard experimental method of most scientific disciplines. These experiments are sometimes referred to as true science, and use traditional mathematical and statistical means to measure results conclusively. They are most commonly used by physical scientists, although social sciences, education and economics have been known to use this type of research. It is the opposite of qualitative research. Quantitative experiments all use a standard format, with a few minor inter-disciplinary differences, of generating a hypothesis to be proved or disproved. This hypothesis must be provable by mathematical and statistical means, and is the basis around which the whole experiment is designed. Randomization of any study groups is essential, and a control group should be included, wherever possible. A sound quantitative design should only manipulate one variable at a time, or statistical analysis becomes cumbersome and open to question. Ideally, the research should be constructed in a manner that allows others to repeat the experiment and obtain similar results.