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My experiment will test the effects of different kick-points on a hockey stick and shot speed.  I would take three different models of sticks with one low, med and high shaft kick-points.  The kick-point is where the hockey stick flexes the most.  A low kick point will flex the most near the blade end of the shaft, a mid kick-point will flex around halfway down the shaft, and a high kick-point stick will flex the most about a quarter of the way down from the top. I would take 10 D1 men's hockey players, and allow them to take 30 shots with each stick. In the first trial, the player will take 10 wrist shots.  In the next trail, they will take 10 snapshots. In the third and final trial they will take 10 slap shots.  A radar gun would be placed behind the net to record the speed of each shot. Taking the average speed of each type of shot for each stick would give nine different speeds.  I would look to see if any speeds were statistically significantly higher, then match the type of shot and type of stick. This could show if a certain kick-point increased the shot speed of one type of shot or possibly multiple types. The independent variable would be the model of stick they are using, and the dependent variable would be their shot speed.

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My experiment will determine the effects that distances have on the accuracy of golfers. The independent variable that is being manipulated in this experiment is the distance of each shot taken place, and the dependent variable is how accurate each golfer is to the target. The experiment would consist of ten tour pros hitting shots from four different yardages. These yardages will be 50, 100, 150, and 200 yards. Each golfer will hit ten balls from each spot before moving onto the next yardage. Each participant in the experiment would complete five trials, one every week, to determine if their accuracy has increased over a five week period or not.

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My experiment will determine how different altitude levels affect hockey players speed and endurance. The independent variable being manipulated will be the 3 ice rinks at different altitude levels; low, medium, and high, and the dependent variable will be the players’ endurance. The participants will include 30 male D1 hockey players that would be split into 3 groups of 10. There will be one group at each altitude level and the groups will rotate through until each player has performed at each altitude level. The tasks will be consistent across each altitude level and will consist of skating multiple laps around the rink and skating back and forth between the red, blue, and goal lines. All of the times of the laps and skating will be recorded and players will evaluate how tired/out of breath they are at the end of the skating. From these results we can determine if players have less endurance and are more easily tired/out of breath at different altitude levels and because of that, if they are moving faster/slower/the same at different altitude levels.

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My experiment will look at how the material of a swimsuit affects swimming speed. The experiment will involve at least 30 swimmers wearing swimsuits-A and measuring the average speed of 100 meters ten times. On another day of training, they were asked to wear a swimsuit-B and measure the average speed of 100 meters ten times. Then we calculate the average time to find result. Among them, we need to ensure that the swimming environment of the two days is absolutely consistent, such as the indoor pool with the same temperature, the swimsuit size is absolutely same, the athletes have sufficient rest after training and we have the same athletes.

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My experiment will test the effect of baseball players having batting practice prior to a game. First I would have 15 baseball players on the high school team go through two trials. The first trial would include each player having batting practice before three consecutive games and recording each player's batting average throughout those three games. The second trial would include the players not having batting practice before the next three consecutive games and recording their batting averages for those three games. From both trials, the recorded batting averages would be compared to each other. The dependent variable in this experiment is the batting average because that's what is being measured. The independent variable in this experiment is batting practice because that's what's changing.

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My experiment will determine if the temperature of pool water affects the speed of swimmers. It will take place at three different pools of the same size that all host swim meets for a variety of teams regularly throughout a six-month period of time. I would include swimmers of all skill level and age in the experiment. One pool will be 76°F, one pool will be 80°F, and the third pool will be 84°F. I will take the average times of each event after each meet at each pool and compare them at the end of the six-month time period.

The independent variable will be the temperature of the pool and the dependent variable will be average times for each event. I hypothesize that slower times will occur in warmer pools.

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My experiment will test how the speed of a current affects the endurance of swimmers. The study would consist of 50 Olympic swimmers from various countries that participate in the 1500m freestyle. All 50 participants will begin by individually testing their endurance in an empty standard Olympic swimming pool and measuring the time they can continuously swim for. Three days after the initial test, they will begin swimming against the current of a pool with a water flow speed of 1mph and the researchers once again will time how long they can continuously swim against the current for. Then once again, after three days from the second swimming marathon, they will begin swimming in a pool with a current of 2mph and their endurance times will be recorded. The independent variable that I am manipulating is the water current speed. The dependent variable I am measuring is the time they can endure swimming against that current speed. I hypothesize that the group with the longest endurance times in static water will also have the longest endurance times in 2mph condition.

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My experiment will determine if varying environmental temperatures effects the time to exhaustion of the runner. The three  temperatures would range from hot, moderate and cold conditions; however, the routes would each be the same distance and a similar terrain. The independent variable manipulated would be environmental temperature, and the dependent variable measured is the time to exhaustion of each runner. The experiment would consist of sixty individuals that would be broken into three groups of twenty; ten males and ten females would be assigned to each temperature condition. Each participant would complete three trials, one trial every week, to evaluate their times.

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My experiment will test the effects of different footwear on sprinter speed. The participants of the study will consist of 100 meter dash competitors. Specifically, 10 high school sprinters, 10 D3 sprinters, 10 D1 sprinters, and 10 Olympic sprinters. The sprinter's time measurements will be compared to their own times with the varying footwear as well as across the different testing groups. There will be a baseline 100 meter sprint measurement of 3 trials barefoot, averaging the trials. Then the different footwear will be tested, each being tested in the same sequence for each participant. The footwear will be the initial barefoot baseline, individually fit track spikes, individually fit running shoes, and 2 sizes too large track spikes. The independent variable is the type of footwear, while the dependent variable that is being measured is 100 meter dash sprint times. I hypothesize that the individually fit track spikes will be result in the quickest 100 meter sprint time.

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My experiment will test the effect of sleep on a baseball pitcher's ability to control their pitches. There will be 30 participants randomly divided into three groups, and all will be division one pitchers. One will be a control group that is instructed to not change anything about their sleep habits, one will be limited to 6 hours of sleep, and one will be given a full 8 hours of sleep. Each player will throw 50 pitches off of a mound at the standard 60'6" distance with the goal of hitting a target on each one. Target hits and misses will be counted and averaged for each group. The independent variable in this experiment is the amount of sleep each pitcher receives the night prior. The dependent variable is the number of times the pitcher hits or misses the target. I am hypothesizing that the pitchers who get eight hours of sleep perform better than the control and that the group that is only allowed six hours performs worse.

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My experiment will look at how the type of exercise one partakes in over the course of 3 months affects a runner's performance in a 5k. 30 amateur runners (15 females and 15 males ranging from ages 20-30 years old) who have access to a gym will be chosen. The study will implement a between-groups design, consisting of two randomly assigned groups. One group will follow a specific strength training program 3 days a week while also running the other 3 days. Day 1 will focus on chest and arms (biceps and triceps), day 2 legs and glutes, and day 3 back and shoulders. The other group will just focus on running and doing simple HIIT exercises without weights throughout the week. Before any of the participants partake in strength training or HIIT exercises, I will measure their 5K time. Then, on the day of the 5K, I will collect each participants' times. This will help to see if there is a change in their performance. The independent variable is type of exercise one is partaking in, and the dependent variable is one's 5k time. I will make sure to account for whether the participants are doing similar workouts, eating similar foods, and getting proper rest so that no confounding variables arise. I hypothesize that strength training will result in a faster 5K time.

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My experiment will measure the effectiveness of using bands to stretch and warm up baseball players arms in correlation to throwing distance, velocity, and long-term arm health. The experiment will be a three month study. 50 players will be randomly divided into a control and experimental group. Both groups will follow the same three month throwing regimen with the only difference being the control group starts with a band warm-up. The groups max throwing distance and velocity (12 throws averaged, 2 worst throws are not included) will be measured before and after the three month regimen. Changes in both distance and velocity will be measured and average change for each variable for each group will be averaged and compared. Finally, at the end of the three month program, players will be surveyed about on arm pain to determine the effectiveness of bands at preventing injury and pain.

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My experiment will determine how environmental temperature affects running time. Participants will run a mile on a treadmill as fast as they can in a room that is 30 degrees F. A week later they will do the same thing, but the room will be 60 degrees F. Another week later they will do it a third time, but the room will be 90 degrees F. Running times will be collected after each trial. The independent variable is room temperature and the dependent variable is running time. Participants will be asked to maintain their normal workout regimen and normal diet throughout the study and try to eat the same things on the days that they test their mile times. I hypothesize that on average, mile times will be fastest when the room temperature is 60 degrees F.

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My experiment will see how cycling in a class with many people versus cycling alone affects how much time individuals cycle for. To run this experiment I would take 40 individuals and put them in a class setting and then I would take those same 40 individuals and have them cycle on their own and see how long they are able to cycle for longer when they are in a class vs if they can cycle longer on their own. My independent variables are cycling alone versus cycling in a group class and my dependent variable is time. I am predicting that cycling in a group with an instructor will be more motivating for individuals and will allow them to cycle for longer. Additionally, I think that cycling in a group setting will motivate the individuals to keep going even when they are fatigued. 

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My experiment will see how cycling in a class with many people versus cycling alone affects how much time individuals cycle for. To run this experiment I would take 40 individuals and put them in a class setting and then I would take those same 40 individuals and have them cycle on their own and see how long they are able to cycle for longer when they are in a class vs if they can cycle longer on their own. My independent variables are cycling alone versus cycling in a group class and my dependent variable is time. I am predicting that cycling in a group with an instructor will be more motivating for individuals and will allow them to cycle for longer. Additionally, I think that cycling in a group setting will motivate the individuals to keep going even when they are fatigued. 

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My experiment will determine the effects of music tempo on a runner. Mainly, to change the tempo of music from high tempo to medium to low and then no music at all and see how that affects the pace of the runner. The experiment would evaluate the runner while completing a mile run. The route would be the same for all different tempos of music and the only thing that would change would be the music tempo. All 4 trials would be timed with the same stopwatch. And all other conditions including running attire and weather conditions would stay consistent throughout. I would hypothesize that higher tempo music would increase the pace of the runner and decrease the mile time. i would suspect that no music at all would be the slowest of the 4 trials.

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My experiment will determine the correlation between the weight of a shot put and how far the person is able to throw it. The athlete will start with a 12lb shot put and take 5 throws with it, each throw will be measured and we will take the average of the 5 throws. Then we will change the shotput out for one that is 1lb heavier and repeat another 5 throws, keeping the same technique and measuring each throw to find the average. We will continue repeating this until we get to a shot put that is 18lbs. We will also do this on different days and in different orders of weight in order to try and remove fatigue as a variable in the experiment. The independent variable will be the weight of the shotput and the dependent variable will be the distance that is thrown by the athlete.

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My experiment will determine how well you sleep the night before a track meet would affect your performance in a race. To run this experiment I would take 10 males and 10 females to be apart of the experiment. We would start by having everyone come from a night of their normal sleep and record how long it takes them to run a mile at 7am. From there we would go through a series of weeks where every three days we would give the participants a different amount of hours of sleep the night before. Then the next day we would have them run a mile at 7am and time them. Seeing this difference from the different amount of sleep would then determine how much the sleep affected their run. Doing this experiment would show that stressing the night before a big meet would not be beneficial. Perhaps loosing sleep over this meet could in the end hurt your time even more. The independent variable in this experiment is the amount of sleep the night before a run. As that is the only change we are making all other variables can stay the same. The dependent variable is then the time it takes to run each mile with the different amount of hours slept.

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My experiment will see how the distance behind the three-point line affects their accuracy and how many they make. All of the participants will shoot a total of 60 shots. 20 basically right on the line, 20 a step back, and then 20 about 3 feet back. The independent variable being manipulated is the distance the three-pointer is shot at and then the dependent variable will be the accuracy/makes measured.

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My experiment will look at the distance a soccer ball travels when kicked from a stationary compared to running up to the ball. There will be 30 college age individuals in this study, 15 males and 15 females. This experiment will be performed on an indoor turf field to control for environmental factors. Each participant will have 5 attempts to kick the ball from a stationary position and 5 attempts to kick the ball starting 10ft behind the ball. Half of the individuals will kick from the stationary position first, while the other half will kick from the further back position. The independent variable is the position of the individual in regards to the ball and the dependent variable is the distance the ball goes.

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My experiment will examine if weekly mileage affects the average 5k time of female cross country runners. There will be 5 teams of 50 runners each, with each team running a different weekly mileage: 30 miles/week, 40 miles/week, 50 miles/week, and 60 miles/week. The independent variable is the amount of miles run per week. The teams will each train for 12 weeks and will race one another in a 5k at the end of the 12 weeks of training. The runners times will be recorded. The times of the 50 runners in each team will be averaged to generate the teams average 5k time. The time of the 5k is the dependent variable that is measured. I hypothesize that the highest mileage group of 60 miles/week will have the fastest average 5k time.

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My experiment will determine if the weight of a backpack decreases the speed of a person walking. The dependent variable in this experiment will be the speed of the person walking. The speed is what is being measured. The independent variable is the weight of the backpack. The weight of the backpack is what will be changed or manipulated. The participants will be asked to walk 60 yards ( 1/2 of a football field) while wearing a weighted backpack. Three different weighted backpacks will be used: 10lbs, 20lbs, 30lbs, and a placebo/baseline backpack with no extra added weight. Each participant will complete three trials for each weight category. Participants will included 25 men and 25 women, varying in age and background; however, participants must be 16+.

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My experiment will determine whether height plays a role in backflip velocity in gymnasts. This experiment will consist of 20 club gymnasts, all training within the same competition of level 10. 10 of such gymnastics will be in the height range of 5’1”-5’5”, while the other 10 will be between the range of 5’6”-6’0”. Each participant will do a total of three round-off back tuck sequences into a foam pit, with the goal of completing the maximum amount of rotations possible in one flip. The amount of consecutive back tucks each gymnast completes in one pass will be recorded, where one full rotation will be defined as one that begins and ends with the head at an upright position. The average amount of rotations will be recorded for each group, where it can be inferred that the higher amount of rotations correlates to higher rotational velocity. The independent variable is the height of the gymnasts while the dependent variable is the amount of rotations they complete in one sequence.

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The experiment I will conduct will include whether webbed toes or hands affect swimming or not. Within the experiment, I will take amateur swimmers in a group of 20 each one webbed and a control group of non-webbed, and time a multitude of stroke laps timing whichever is the fastest and to see if having webbed hands or feet give a biological advantage to swimming.

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My experiment will determine types of soccer cleats (firm ground vs soft ground) on playing ability on grass. The participants will include 30 mens midfield college soccer players that all play for a division 1 or 2 school. There will be two trials for each player. The participants will each be assigned both soft ground and hard ground cleats, and complete 20 short passes, 20 long passes, and 30 shots from 15 yards for both cleats. The number of completed passes, and shots will be recorded and compared between data for both cleats. The independent variable is the type of soccer cleat, and the dependent variable is the number of completed shots and passes.

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My experiment will determine how caffeine affects the race time of a 50 meter freestyle swim in college aged men and women. I plan to have 15 females and 15 males. All participants will swim two 50 frees, five minutes apart, with no caffeine and I will record their time. Then, each participant will take 200 mg of caffeine, wait 30 minutes, and swim two more 50 free's with five minutes in between as I record their times. The independent variable that I'm manipulating is caffeine intake which affects the dependent variable of 50 meter free time.

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My experiment will test the effect of football gloves on catching ability. My participants will include 15 high school boys who have all played football in the wide receiver position for the same number of years. There will be two trials, one with football gloves on, and one with no football gloves on. The participants will stand 20 feet away from a passing machine that will be set to throw the ball to the same spot at 25 miles per hour. Each participant will receive 30 total passes (15 with gloves, 15 without gloves). The number of completed catches in each trial will then be recorded and compared throughout the group. The independent variable is what a participant is wearing on their hands. The dependent variable is the number of completed catches. I hypothesize that the trial with gloves will result in more catches due to the sticky substance on the gloves.

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My experiment will look at whether or not having longer legs gives the ability to jump farther. We will use the long jump as a measurement. My participants will include 40 healthy individuals ( 20 males and 20 females). 10 of those males will be 6' and above, and the other 10 will be below 6'. For females, 10 will be 5'10" and above, and the other 10 will be below 5'10". Each participant will be allowed three long jump attempts. The average length of jump will be taken from each group (male vs female and "long legs" vs "short legs"). The independent variable is the height of the participant and the dependent variable will be the length of jump.

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My experiment will determine if walking or running a mile everyday is better for a woman's blood pressure at the age of 20. The independent variable will be daily movement, running or walking. The dependent variable will be blood pressure. The experiment will include 50 women from all different backgrounds.

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My experiment will look at if weightlifting with lifting shoes will affect one's ability to lift more weight. I will have 10 individuals, independently try to PR their snatch and clean and jerk with their regular training shoes on and record their results. One week later I will have the same 10 individuals wear their lifting shoes and try to PR the same two lifts and record their numbers. At the end I will see if they were able to lift more weights with their lifters on or regular shoes. I predict that wearing your lifters will help the individual lift more weight because it provides a flatter surface when the catch the bar at the bottom of their snatch or clean and jerk in the squat position. Wearing lifters also helps the person be more balanced in their squat and helps them not catch the lift on their toes. My independent variable is which shoes they will wear and the dependent variable is the amount of weight the individual can lift.

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My experiment will test the accuracy of quarterbacks to throw different passes of varying distances, and at different speeds of receivers. First I will have all participants throw a pass of short distance between 1-5 yards at a stationary person. Then this will be repeated at 1-5 yards while the person is running at a slow pace, then one more time at a fast pace. This will then be repeated at distances of 6-10 yards, 10-15 yards, and 15-20 yards. Throws that are successfully caught by receiver without adjusting their running will be considered a success. We will then see which passes were successfully completed the most, and who completed the most passes.

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My experiment will see how running with a group of people versus running alone affects how fast they can run a mile. First I will have 30 healthy individuals between 20-30 years old, 15 female and 15 male, each run a mile independently on an indoor track and record how long it took. Then, a week later, I will have the same 30 individuals all run a mile at the same time together on an indoor track and record their times. I chose an indoor track to control for weather/temperature conditions. I predict that the miles times will be lower when they run together than when they run separate because of social factors motivating them to run faster. My independent variables are running alone and running in a group. My dependent variable is mile time (speed).

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My experiment will look at whether the number of practice sessions in a week influences free throw percentage during a game. All participants will shoot 200 free throws per week, but I will manipulate how many they shoot in a given practice session. One group will practice 200 free throws in a single session once a week, another group will shoot 100 free throws in each session, two times per week. The last group will practice 50 free throws per session, four times a week. The independent variable that I'm manipulating is the number of practice sessions. The dependent variable that I will measure is free throw percentage during each game. I hypothesize that the group with the most spread out practice routine (50/session) will have the best performance during games.