Graphing Module 6 – Correlation
Using a program like Microsoft Excel, Google Charts, or an equivalent chart building program and the following data, correlate the following data. Your score will be graded on accuracy to the data and showing your work that you did indeed use the chart program outputs rather than just found the answer online and plugged the data in. You will also be graded on answering questions about the descriptive statistics. Once you have correlated the data and graphed it, submit it to me with the questions answered. You can only have one submission per assignment. The data are as follows.
Lena is studying the correlation between SAT scores on the Math portion of the test and SAT scores on the Comprehensive Reading (CR) portion of the test. She has the follow data.
The following scores are the Math SAT scores for Students 1 – 10 respectively. 300, 320, 400, 450, 460, 460, 500, 570, 600, 650.
The following scores are the CR SAT scores for Students 1 – 10 respectively. 350, 370, 420, 400, 390, 400, 450, 520, 500, 650.
Questions:
1. What is the correlation between the variables?
2. Is the correlation statistically significant?
3. What does this information tell Lena about the correlation between the two scores?
4. Do high Math SAT scores cause high CR SAT scores?
Graphing Module 7 – Regression
Using a program like Microsoft Excel, Google Charts, or an equivalent chart building program and the following data, make predictions about correlation data. Your graph will be graded on accuracy to the data and the legibility of the graph. You will also be graded on answering questions about the graph and data it contains. Once you have created your graph, submit the graph to me with the questions answered. You can only have one submission per assignment. Here are the data. Note: The following data are fictitious and can lead to wild looking answers. Please answer the questions to the best of your ability with the data given.
Korra has established the correlation coefficient for a set of data that compares IQ scores and athleticism. She wants to predict scores on athleticism tests by knowing the IQ. The correlation coefficient r = .67.
X Y
IQ SCORE AT SCORES
Mean = 100 Mean = 5.65
SD = 25.40 SD = 1.25
Questions:
1. What would one predict the athletic test score of an person that earned an IQ score of 125?
2. What would one predict the athletic test score of an person that earned an IQ score of 75?
3. Using the scatter plot, how would interpret Korra’s findings about the relationship between IQ and athleticism tests?
Graphing Module 8: Chi Square
Using a program like Microsoft Excel, Google Charts, or an equivalent chart building program and the following data, carry out a chi square test for independence. You may choose to carry out this process by hand. Your graph will be graded on accuracy to the data and the legibility of the graph. You will also be graded on answering questions about the graph and data it contains. Once you have created your graph, submit the graph to me with the questions answered. You can only have one submission per assignment. Here are the data.
Carmen wants to know if men or women are more willing to sing out loud in public. She gathered 100 subjects, 60 were women and 40 were men. Forty of those women were unwilling to sing in public and 35 men were unwilling.
What is the Chi Square value for this test?
How many degrees of freedom are there?
Is the result significant at the 0.05 level or the 0.01 level?