# Final Exam Study Guide: Part 1 - Technology

Your final exam is composed of two parts. The first part is to use Minitab to answer the questions. The second part will be more like what you have done on your other tests throughout the semester.

Both parts of the exam are open notebook. This may include your old tests, activities, technology projects, etc. You may not use your textbook. You may use minitab notes from the activities and tech projects on the first part of the exam. Since I asked you not to print these in the classroom to save paper, you may pull them up online and look at them during your test.

The following is not a question by question description of what you will need to know like most study guides. Part of this test is to see if you know where to go to do the things that are asked. Instead, this guide is designed to let you know which areas of Minitab you should be familiar with. I would certainly put this study guide in your notebook to use as a reference during the exam.

You do not need to print or save your results. You do not need to copy and paste into Word. Write all answers on the exam.

• Open Worksheet. You will need to open a data set to complete the test.

• Calculator. You will need to be able to create a new variable based on an expression involving existing variables.
• Probability Distributions.
• You will need to be able to work with the Binomial, Normal, Student's T, Chi-Square, and F distributions. You will not need to sample from columns.
• The "probability" option can be used to find probabilities of specific outcomes.
• The "cumulative probability" can be used to find the area to the left of a value. You'll have to manipulate the output if you need the area to the right. If you need a two-tail p-value then you'll have to manipulate the input and the output.
• The "inverse cumulative probability" will return the critical value that has the input area to the left. You'll have to manipulate the input if you are given the area to the right. If you need two critical values, you'll have to manipulate the input and run the procedure twice.

## Stats / Basic Statistics Menu

• Display Descriptive Statistics.
• 1 Sample T. Used to test a claim about a single mean.
• 2 Sample T. Used to test a claim about two independent means. The test mean is the difference in the means.
• Paired T. Used to test a claim about the mean of the difference with dependent samples.
• 1 Proportion. Used to test a claim about a single population proportion. Remember to enter proportions as decimals. Also check the "base interval and test on normal distribution" box.
• 2 Proportions. Used to test a claim about two independent proportions. The test value is the difference in the proportions. Be sure to check the "use pooled estimate for p" box.
• Correlation. Used to find correlation between two quantitative variables.
• Normality Test. Used to check whether a sample comes from a population with a normal distribution.

• Regression. This will find the regression equation when there is significant linear correlation. Remember that when there is no linear correlation, the best estimate for a variable is its mean. You do not need to worry about residuals or fits for this test.

• One-Way. Used to test the claim that the three or more means are equal when the samples are independent. There should be one column containing the factor and one column containing the values to test.
• One-Way Stacked. This is the same test, but each sample is in a different column.

• Cross Tabulation. This is used to create a contingency table and perform a test for independence. Be sure to check the chi-square box to do a test for independence.
• If you frequencies instead of each row being a separate case, then include the two classification variables and check the "Frequencies are in ..." box and put the frequency column there.
• If your data is such that each row is an individual case and there are no frequencies, then include the two classification variables and the variable you want to tally in the classification variables box. You will get a table for each value in the third variable listed. For example, if you have the three variables gender, party, and race and specify them in that order, it will give you two tables (one for whites and one for blacks) containing the tallys with gender for the row variable and party for the column variable.

• Plot. You need to know how to make a scatter plot. There will be three plots given on the test and you have to circle the right one. If you don't get one of the three, then you know you did something wrong.

## Type of Questions to Expect

The questions are not like questions on previous tests where you have 13 parts and you have to go through and answer each part. Instead a sample question might be ...

Conduct a t test to test the claim that the mean size of a man's middle finger is 8 cm.

From this question, you need to know to go to the 1 sample t test. You'll probably be asked to write things like the null and alternative hypotheses, identify whether the test is left tail, right tail, or two tail, find the test statistic and p-value from Minitab, make a decision and write a conclusion. Much of it is like your previous tests except where I gave you the results from Minitab for those tests, you need to find them for the final.

Which of the following graphs is a scatter plot of the weight (y) vs height (x)?

This is a matching problem, so you could take a wild guess and hope you get it right or you could go to graph / plot and make the graph and compare it to one that's there.