Project #34130 - statistics homework

Introduction to Regression

the techniques used to find prediction equations, we also learn if those predictions are statistically significant. In your discussion today, I want you to address the following:

1. What are the 3 purposes of the line?
2. What is regression?
3. What is the regression equation for Y?
4. What is the standard error of estimate?
5. Describe the relationship between the standard error and the correlation
6. Describe how Analysis of Regression is similar to ANOVA
Remember to use examples to get the full credit.
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The Chi-Square Statistic 

Non-parametric tests are alternatives to all the tests we've been learning. They do not state hypotheses in terms of a specific parameter and they make few assumptions about the population distribution.  The participants in non-parametric tests are usually just placed in categories.  Remember measurements on nominal and ordinal scales? Yes, that is it.  These do not produce numerical values that can be used to calculate means and variances.  Data are simply frequencies.  Let's do the following:

1.  There are 4 situations for which transforming scores into categories might be a better choice.  State the 4 situations
2. What is the chi-square test for goodness fit? 
3. The chi-square is computed by following 4 steps. List and describe the steps with examples.
4. What is the simple formula for determining expected frequencies?
5. How do we measure the effect size for the chi-square test for independence?
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The Binomial Test 

Remember in Chapter 6, we talked about binomial data where a measurement procedure classifies individuals into exactly two distinct categories.  Today, we learn how to use the binomial data for testing hypotheses about the values of p and q for the population.  This type of hypothesis test is called a binomial test.  

1.  Explain the two categories the null hypothesis can fall into.
2. State the 3 properties of the binomial distribution with examples
3.  Discuss with examples the 4 step procedure of computing the binomial test
4. What is the relationship between the binomial distribution and the normal distribution?
5. What is the relationship between chi-square and the binomial test?
6. When do we use the sign test?
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Choosing the Right Statistics

If you are here, congratulations and good job. You've worked hard to this stage. Now, let's put what we've learnt into perspectives in choosing the right statistics.  Remember we have 4 levels of measurement and we have different statistical techniques for various levels.  This week, let's discuss the following:

1.  The 4 levels of measurement
2. The three basic categories of most research data
3. Descriptive statistics in all categories and at all or appropriate scales
4. Inferential statistics in all categories and at all or appropriate scales



Subject Mathematics
Due By (Pacific Time) 06/25/2014 11:00 pm
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