A. Data Collection
You will collect data to compare mean reaction times You could also compare your mean reaction time to that of another person or your reaction times to different reaction time tests. There are endless options for your two groups or 2 conditions – be creative!
To collect your data, go to one (or more) of the websites at the end of the handout and repeat the reaction time test at least 40 times under each condition. (I would recommend that you practice your chosen test(s) a few times before you start recording reaction times.) If you have another project in mind, describe your idea to me. The requirements are that you have two independent samples, quantitative data, and each sample size should be at least 40.
You can use a classmate for data collection, but both of you need your own 2 sets of data for the project. You can’t share data.
• Put your times in a neat table. Also indicate which website(s) you used.
B. Introduction
First, think of a question you can answer or a claim that you can test with your data. Include some kind of motivation for your question or claim. What do you expect your results to be and why?

C. Displays
For EACH sample, provide:
Grouped frequency distribution with 5-8 classes that have data in them. Have columns for class limits, midpoints, frequency, and relative frequency
Frequency histogram on graph paper with appropriate labels.You can do this neatly, take pictures, then insert the pictures into your document.
You can copy and insert this table into your project, adding rows as needed, for each sample. Label each table with which sample is represented.

Class Midpoint Frequency Relative Frequency

D Summary Statistics
For each sample, use the calculator to find the summary statistics and enter them in the following table (copy and paste to your document). The Lower Fences and Upper Fences will need to be calculated, see Sec 3.3.
Sample 1 =                   Sample 2 =
Sample mean, x ̅          Sample mean, x ̅
Sample std dev, s          Sample std dev, s
Sample size, n             Sample size, n
Minimum                      Minimum
Q1                                  Q1
Median                         Median
Q3                                  Q3
Maximum                      Maximum
LF                                  LF
UF                                  UF
Outliers? (list them)       Outliers? (list them)

E. Boxplots
For each sample, construct a modified boxplot (see Sec 3.3) on the same axis/scale. This will be one number line with 2 boxplots above it. Be sure the whiskers are the appropriate length (they go out to the last data point prior to reaching the LF or UF) and any outliers (beyond the LF or UF) are marked separately with a “ * “. You are allowed to draw the boxplots by hand or use a program as long as the modified boxplot is drawn consistent with our method from the book (p. 135).
For each sample, state (in a sentence) whether or not it appears that the sample comes from a population that is “approximately normal” considering both the boxplot and the histogram. (see Sec 6.5) Describe the shape of each boxplot (left skewed, symmetric, or right skewed).

F. Confidence Intervals
For each sample, form a 95% confidence interval for the mean using your calculator. Which method will you use? Do you know the population standard deviation? (see Ch 7) Interpret each confidence interval in your report.
Do the intervals overlap? Does it seem likely that the population means μ_1 and μ_2 could be equal or that one is greater than the other?

G. Hypothesis Test for the Difference of Means
Show all 6 steps of hypothesis testing. Have the assumptions been reasonably met? List the null and alternate hypotheses. Choose whichever alternate hypothesis you believe is appropriate for your question. We will conduct this test at the α=0.05 level of significance. State which calculator command you will be using and why. Use your calculator and find the test statistic and P-value. What is the decision? State the conclusion in terms of the context of your data.

H. Conclusion
Final paragraph – Restate your decision and conclusion. How did your results compare with your expectations? What improvements would you make in your statistical study if you had an unlimited budget and all the time needed for collecting data? What have you learned about the specific question that you asked? What have you learned about statistical studies in general?

A. Data Collection You will collect data to compare mean reaction...