Assignment #1 - Collecting and Organizing Data PDF

Title Assignment #1 - Collecting and Organizing Data
Course Introduction to Statistics in Kinesiology
Institution University of Hawaii at Manoa
Pages 3
File Size 86.5 KB
File Type PDF
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Collecting and Organizing Data...


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Assignment #1: Collecting and Organizing Data The purpose of this experiment is to determine the effect of fatigue on standing broad jump (SBJ) in students enrolled in KRS 474. 1. What is the independent variable in this experiment? Is this variable continuous or discrete? Explain. The independent variable in this experiment is the effect of fatigue. This variable is discreet because it can be counted and is a fixed number. In this case, it is referring to the 15 air squats being done to determine the effect of fatigue in the experiment. 2. What is the dependent variable in this experiment? Is this variable continuous or discrete? Explain. The dependent variable in this experiment is the length of the standing broad jump or SBJ. This variable is continuous because it can be measured and can include decimals and fractions. 3. According to our purpose statement, what is our population of interest? In this experiment, the population of interest are the students enrolled in KRS 474. 4. Before analyzing the data, what is your hypothesis? Why? I hypothesize that if the effect of fatigue is present in this experiment, then the length of the standing broad jump will decrease and the second jump will be shorter in comparison to the first jump. 5. Describe our method for collecting the data. The data was collected by having the 21 students enrolled in KRS 474 stand at the goal line (0 yards) on a football field and each perform a standing broad jump. Their landing place relative to the hash marks on the field created the first set of data. The students then did 15 air squats before jumping the second time to test the effect of fatigue. The second set of data was then again recorded according to where each student landed on the field. 6. Create the appropriate distribution tables for each data set. a. SBJ (pre)

b. SBJ (post)

variable (x) 3.5 yards 3 yards 2.5 yards 2 yards 1.5 yards 1 yard

frequency (f) 1 2 3 13 2 0

7. Discuss the internal validity of our experiment.

variable (x) 3.5 yards 3 yards 2.5 yards 2 yards 1.5 yards 1 yard

frequency (f) 0 4 6 10 1 0

I believe the experiment has high internal validity. The experiment almost completely eliminated the possibility that anything other than the independent variable caused the changes in the dependent variable. The entire population of interest rather than just a sample performed the exact same test at the same time, day, and location. 8. Below are two different hypothetical samples taken from our population of interest. Discuss the external validity had we used each sample to collect our data. a. 10 tall students, 10 short students The drastic differences in height would mean a greater difference in the lengths jumped. Besides this, the sample would still show the decrease in length after the 15 air squats being performed. The data may look much different but would ultimately yield the same conclusion thus not threatening the external validity with this sample. b. 20 female students

This sample would not be the best to truly reflect the population of interest because there are also male students in KRS 474. Although, the external validity would not be improved by this sample it would also not be threatened. The data would only be slightly different than the original experiment and probably much more similar in terms of the yards jumped in both data sets simply because it is a sample of only females. Despite the sample being all females, it would also result in the same conclusion and show the effect of fatigue on standing broad jumps....


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