Gray Hair Observation Report

The purpose of this experiment was to determine if cats have a color preference. I wanted to do this experiment because I took an interest in my cat’s vision. My hypothesis was that my cat would prefer the color blue. I used 5 different colored balls of yarn. They were placed in the same spots and sequence each time. I conducted this experiment for a total of four-weeks. I set my cat up behind a line of painter’s tape and let her approach a yarn ball and play with it. I recorded how many times she approached each color. At the end of the experiment I discovered that my hypothesis was not supported. My cat chose to play with the yarn colored black rather than

This class is made up of 8-12 students, all depending on how many show up. The class roster has a total of 12 but the average class size is 8-9 students. Of these students 90% are male. This means that one a normal day there are 7 or 8 boys and only 1 girl. On occasion there is another female but more males to maintain that 90% male dominance. The group is a male dominant group,

Alopecia areata is a non-life threatening hair loss disease. It may not literally kill you, but in other ways deep down it could. I know this from my personal life. I have been an individual that has been suffering from alopecia for the past six years. It’s not easy living in this world with it. I feel at times that it’s a pain just to go to school and be in public with my disease.

The first claim that I analyzed was that women are more likely to use charm and men are more likely to use physical force held true according to my sample. There were three instances of using charm. Hal, the father, did so once. Lois, the mother, did so the other two times. The second

I conducted a survey, asking 20 females and 20 males their favorite food group for my AP Statistics project. I surveyed on Wednesday, September 27 and on Thursday, September 28 at Marshall High School. They chose from protein, grain, vegetables, fruit, and dairy. From the data, I found that 10 males and 2 females liked protein best, 3 males and 2 females liked grains best, 1 male and 1 female liked vegetables best, 3 males and 13 females liked fruit best, and 3 males and 2 females liked dairy best. Half of the males liked protein best, while most females liked fruits best. The least amount of both males and females liked vegetables. From this data, we can see that males like protein more than females do, and females like fruit more than males

The purpose of this project was to find out if there is a difference in the strength of different types of hair. I wanted to see if color or chemicals made a difference. My hypothesis was that blonde hair was stronger than brown hair and chemically treated hair. Individual strands of hair were collected from 30 female subjects. I tied one end to a hair hanging device and the other to a baggie. I added pennies into the bag until the strands broke, which is how I determined their strength. My testing showed that brown hair was the strongest and held an average of 27.9 pennies. Chemically treated hair held an average of 14.9 pennies and blonde

Gender – whether there was a difference in performance between genders; used for comparison between male and female participants

Who listens to R&B music more females or males? We guessed that more females listened R&B music than males. After interviewing a group of males and females I was able to come up with the conclusion that more females listened to R&B music than most males. All of these participants were handpicked from a sociology class. These participants consisted of nine males and nine females. I choose to ask students who were either in band or those who listened to online radios on daily basis. Finally, I asked each participant how many R&B songs they listen to in one day. In the first paragraph, describe the statistical analyses you performed. The data that I gathered showed that females listened to more R&B songs in a day than males do. Chart 1 shows

In conclusion, 82% of the Dark colored vehicles were speeding and 72% of the bright colored vehicles were speeding. This means my hypothesis was incorrect because there were actually more dark cars speeding instead of more bright colored vehicles speeding. Either way, it all depends on the type of driver and not the type of vehicle.

I wanted to see what types of food choices people made by gender. I broke it down by how many people get food from the grill and pizza area compared to how many people get food from the deli and salad area. I then broke it down even further to see if different genders ordered from a certain area more than the other did.

The second experiment differed in that it had a sample size of 150 students, they were divided into groups of 50. Again the groups were shown footage of car accidents however in this experiment one group of 50 were asked how fast the cars were

The males who were supposed to be in the program received long term suspension for misbehaving. The new hypothesis that I created was actually not correct. The girls who completed the whole program, and were the most successful came out to an even number. Two girls were African American and the other two were Hispanic/ Latina. Before the program started, there were four African Americans students and four Hispanic/ Latina students, Making the study even. The one student who did not complete the program was African American, making the Success rate favor the Hispanic/ Latina race.

In my population, I surveyed 15 men (60%) and 10 women (40%). When it came to the ethnicity population I found out that 40% are white, 16% Black or African-American, 24% Hispanic or Latino/a, 16% Asians, and 4% Middle Eastern or North African. I had no participants that were American Indian/Alaska Native, Native Hawaiian/Other Pacific Islander, or some other race/origin. The participants were asked how many times a week they work-out and what I found out is that 28% answered 1-2, 20% 3-4, 24% 5-6, 28% 7(+), 0% 0. Women replied with the following: 16% 1-2, 8% 3-4, 8% 5-6, 8% 7(+). On the other hand, men replied the following: 12% 1-2, 12% 3-4, 16% 5-6, and 20% 7(+). When asked what part of the body do you work-out the most? The results prove that 24% of the participants focus on the upper body, 36% middle body, 32% lower body, and 8% none.

During this time of the day, there were many men and women also know as college students walking to their dorms with a group of friends and peers. To my own advantage, I was able to sit on a hammock which gave me the perfect view to see men and women come from different directions. In other words, it was rather easy to identify sidewalk behavior without making it obvious that I was making such observations. In this first attempt, in order to come up with the correct data, I counted all the men and all the women who were walking down the hill into their dorms, the number of single groups, the mixed groups, and everyone who was walking alone. Because no one noticed that I was observing their sidewalk behavior they didn’t do anything that would have affected my conclusion and data.

The data on Table 1 shows that the men in the meeting had more turns but there was an exception (woman D) and the men in the meeting generally spoke for longer per turn but again there was an exception (woman B). Additionally men also interrupted more (except for man E), and men were interrupted more except Man E and Man I, therefore there is no significant pattern in terms of which gender was interrupted more.