Regression Analysis and Chi-Square Test - Setting hypothesis
State the goal of two statistical methods to formulate hypotheses.
Solution Preview
The two statistical Methods discussed are:
1. Regression Analysis
2. Chi-Square Test
In regression analysis, we develop an estimating equation - that is a mathematical formula that relates the known variables to the unknown variable. The simple regression analysis is done to test the linear relationship between the dependent variables and independent variables. Thus, if X is independent variable and Y is independent variable, we are going to test the model:
Y = a + bX
The goals for the regression is to estimate the values of a and b. While formulating the hypothesis, we have to keep ...
Solution Summary
This post discusses the goal of statistical methods to formulate hypotheses. To understand two statistical methods - Regression Analysis and Chi-Square Test are discussed. The answer is in discussion format (approximately 419 words) and discusses the goals for these techniques and how these goals are related to the null and alternate hypothesis, we set for these methods.
1) What is the Chi-squaretest? Where can you apply it? Please site an example of how it was used and the outcome of the test. I think this could help me better than the book, it is difficult to understand.
2) What is regressionanalysisand multiple regression? How would they be used in an outpatient setting? Please indentif
A research organization has collected the following data on household size and telephone ownership for 200 U.S. households at the 0.05 level, are the two variables independent? Based on the chi-square table, what is the most accurate statement that can be made about the p-value for the test?
The chi-squaretest. Think of a real-world situation that would best be analyzed using this technique. For this Discussion do the following:
1. Clearly describe the dependent and independent variables you would study;
2. State the research question and statistical null and alternative hypotheses; and
3. Explain why this tes
See attached files
Phase III, IV & V Chi-Square, ANOVA & RegressionAnalysis
III. In this phase you will investigate the relationship between a respondent's view (Interest) of the recent move and his/her demographic characteristics:
1. Run Chi-Square analyses between a respondent's view (Interest) and the respondent's dem
Cross between pure red tomato and yellow tomato produced all red F1 progeny. From the F2 progeny of 400 plants, 90 were yellow. Hypothesize that a single pair of allele is involved such that Y- = Red and yy = Yellow. Test this hypothesis using Chi square test.
Perform a chi-squaretest on the following data:
(a) Regulation is the best way to ensure a safe workplace.
Managers Blue-Collar Workers
Agree 58 66
Disagree
Teens were asked in MTF 2008 survey how often they think about social issues (specific issues were not identified). The bi variate table includes responses organized by teen's race.
Race of respondent
How often do you think of social issues? Black Whi
Collapse the response categories in the following table so that it meets the assumption of the chi-squaretest; then perform the test.
OWNERSHIP
Education Owners Non-owners
Less than grade 8
Is there an alternative test to the chi squared test? What if my results give an expected frequency below 5, which stats book states that these should be treated with caution? Is there a more appropriate stat test which would be more accurate in working out the significance of the results?
