# Does age predict performance on the certification exam?

Generate frequency tables and bar charts for the nominal variables. Generate and interpret descriptive statistics of central tendency, variability, skewness, and kurtosis for the continuous (scale) variables. Generate frequency tables and histograms with the normal curve superimposed for each scale variable. Label your tables and graphs according to APA format. Conclude with a paragraph summarizing the demographic characteristics of this sample.

1. Gender (nominal)

2. Age (scale)

3. Qualification (nominal)

4. Worksite (nominal)

5. Knowledge1 (scale)

6. Knowledge2 (scale)

7. Years (scale)

8. Confidence (scale)

9. Exam (scale)

Part III. Describe relationships among the variables.

Select the variables that are measured on interval or ratio scales. Create a correlation matrix.  Label the table according to APA format. Identify and discuss the strongest and weakest correlations.

Part IV. Answer any FOUR of the nine following research questions. Clearly identify which question(s) you have selected to answer by writing the number associated with the question (1-9) before each answer. Make sure to select four questions that must be answered by 4 DIFFERENT tests. For example. One t-test, one ANOVA, one regression and one chi-square; NOT a single sample t-test, independent sample t-test and paired sample t-test as these all fall under t-test.

Based on the research scenario and the data, restate the research question, identify the Independent and Dependent Variable(s), formulate the hypothesis, conduct an analysis, and interpret the results for each of the following. Please use the 7-step hypothesis testing model for each analysis, including an APA-style conclusion statement summarizing the findings, interpreting the results and answering the research question.

10. Is there a significant difference in knowledge between on-site and off-site workers  before they take the training?

11. Is there a significant increase in knowledge as a result of the training?

12. Do participants of different classifications (professional, paraprofessional, and nonprofessional) perform differently on the certification exam? Which group performs best?

13. What are the effects of gender and worksite location (on- or off-site) on level of confidence? In other words:

13. Is there a gender difference in confidence?

13. Does type of worksite experience affect confidence?

13. Is there an interaction between gender and worksite in their effect on confidence?

a. After controlling for prior knowledge, is there a difference between professionals, paraprofessionals, and non-professionals in knowledge after the training?

a. Does age predict performance on the certification exam?

a. In addition to age, does confidence improve the ability to predict performance on the certification exam?

a. Does the distribution of the classifications of participants (professional, paraprofessional, and nonprofessional) differ than what one would expect by chance?

a. Does the distribution of the classifications (professional, paraprofessional, and nonprofessional) differ from the State data reported as 15%, 25% and 60%?