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Statistics

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AP Statistics
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one way anova

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Statistics
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One-Way Analysis of Variance (One-Way ANOVA) Notes Experiments versus Studies Types of Experiments Assumptions & Assumption Checks Types of Analysis NCSS When finished with the One-Way Anova notes, you should be able to Define the ANOVA terms Explain why the test of equal means is conducted as it is Determine when it should be used Explain the requirements of the procedure Determine if the requirements are met Test a hypothesis of equal means Estimate the difference in sample means How to get NCSS to calculate the values. 1. Experiments versus Studies 1.1 Terminology Response variable, Y, ? a quantitative variable that may depend on the values of a qualitative variable (factor)

Two-Way Factoral Anova

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Two-Way Factorial ANOVA A researcher was interested in whether an individual's interest in politics was influenced by their level of education and gender. They recruited a random sample of participants to their study and asked them about their interest in politics, which they scored from 0 to 100, with higher scores indicating a greater interest in politics. The researcher then divided the participants by gender (Male/Female) and then again by level of education (School/College/University). Therefore, the dependent variable was "interest in politics", and the two independent variables were "gender" and "education". This is the Output we got: Between-Subjects Factors N Gender 1 9 2 11 Edu_level 1 5 2 8 3 7 Post Hoc Tests Edu_level

Comparing More Than Two Means Anova

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Comparing More Than Two Means: ANOVA ANOVA Testing: In your area of psychology, formulate a research question that can be addressed using a one-way ANOVA test. You may use and expand your research question from Unit 7 and include more than two groups to compare. Write down your question and why you feel that it is appropriate for a one-way ANOVA test.

Hypothesis Testing Using T-Tests and Comparing Two Means

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Comparing Means: t-test a. Develop Research Question to Compare Two Sample Means: I want to determine if the high school students who took a review class got better scores on their SAT Exams than the students who did not take the review class. Therefore, I will run a t-test and interpret the results: T-Test Group Statistics review N Mean Std. Deviation Std. Error Mean SAT 1 12 76.1667 14.86811 4.29205 2 8 72.7500 12.33752 4.36197 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper SAT Equal variances assumed .162 .692 .537 18 .598 3.41667 6.36211

Interpreting Statistical Analyses

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Testing a Hypothesis: In Unit 5 you began to study the use of hypothesis testing to answer research questions. Rewrite your research question, null hypothesis, and alternative hypothesis from Unit 5 here. Make any needed improvements to create an appropriate hypothesis test that can be tested using the t or z test statistic to compare means. Is your test one-tailed or two-tailed?

hypothesis testing

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Develop a Research Question: In your area of interest, think about a research question that could be answered using a hypothesis test. Write down this research question, and explain what your research is trying to investigate.

Regression

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Making Predictions Using Regression Develop a hypothetical multiple regression (prediction) equation to predict something in your area of professional or personal interest. Please complete the following: I am the CEO of a manufacturing firm, and I want to see if my employees are correctly paid. What I want to check is whether the annual salary for my employees is based on performance ratings and years of service. In order to verify this, I am collecting the data shown in the table in SPSS for my employees.

Statistics Review

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Using the Statistics Class dataset called ?Stat_Grades.sav,? answer the following. Answers 1. Which of the five Quizzes has the strongest relationship with overall student performance on the Final Exam? Include all SPSS outputs that you will use to answer this question. Explain your choice. Is this relationship strong enough to use these variables in a prediction equation? Why or why not? Which is the best Quiz to use to predict the Final Exam? Correlations Quiz 1 Points Quiz 2 Points Quiz 3 Points Quiz 4 Points Quiz 5 Points Final Exam Points Quiz 1 Points Pearson Correlation 1 .673 .858 .829 .504 .535 Sig. (2-tailed) .000 .000 .000 .000 .000 N 105 105 105 105 105 105 Quiz 2 Points Pearson Correlation .673 1 .688 .633 .700 .552

Correlation

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Statistics
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http://search.ebscohost.com.lib.kaplan.edu/login.aspx?direct=true&db=bth&AN=43630518&site=ehost-live The article I chose for my discussion was ?Organizational Change and Characteristics of Leadership Effectiveness? (Gilley, McMillan and Gilley, 2009) from Journal Of Leadership & Organizational Studies. The problems under study were (1) to find the skills and abilities of leaders within an organization which influence the effectiveness of organizational change; and (2) to determine the extent to which leaders have been effective in implementing change.

MData Set

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Statistics
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A) SPSS and Data Summary: From the dataset attach, select any two quantitative variables. What is the name of your two quantitative variables you will be analyzing? Use SPSS to compute summary (descriptive) statistics, including measures of central tendency mean, median, mode and numerical measures variance and standard deviation for each of your variables. The two variables I have considered are: weight and color of M&M. The summary of those two variables, computed in SPSS are in the following table: Statistics Color of M&M Weight (grams) Valid 100 100 Missing 0 0 Mean 3.68 .85649 Median 4.00 .85800 Mode 5 .859a Std. Deviation 1.792 .051794 Variance 3.210 .003 Range 5 .319

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