Lab Analysis Of The Barbie Bungee Experiment

The lab uses the measurements of a wooden dowel in length and diameter to collect data in order to interpret data in report form. The data is used to produce statistical data and how to correctly present it. A ruler and micrometer were used to measure the dimensions. Spreadsheets are then constructed in order to generate standard deviation, mean, median, mode, frequency, as well as variation of length, diameter, volume, and cross sectional area of the

Iterations of analysis eliminated data points that were listed as “unusual observations,” or any data point with a large standardized residual. After 5 iterations, the analysis showed improved residual plots. Randomness in the versus fits and versus order plots means that the linear regression model is appropriate for the data; a straight line in the normal probability plot illustrates the linearity of the data, and a bell shaped curve in the histogram illustrates the normality of the data.

I found the Clark doll experiment to be really upsetting. Where 15 of the 21 African American children found the white doll to be prettier and nicer. What is wrong with our society that we teach our kids that it’s better to be white? Or to be ashamed of there skin tone? Its shocking how influenced we are by one another and our surrounding environments. I learned how strong pier pressure could be, and how easy it is to simply follow directions and not ask questions. There are truly so many external factors that take apart in our decision-making and

A researcher found a significant relationship between a person's age, a, the number of hours a person works per week, b, and the number of accidents, y, the person has per year. The relationship can be represented by the multiple regression equation y = -3.2 + 0.012a + 0.23b. Predict the number of accidents per year (to the nearest whole number) for a person whose age is 42 and who works 46 hours per week.

In this experiment a basketball was used because of its size and was used in a controlled environment. For two of the out of the three trials in the experiment a freezer and refrigerator were used to cool the ball the temperatures. For one of the trials the ball was heated with a heater, the temperature for the heated ball was 111. The basketball was measured by a measuring tape that went by inches. The data chart found that the heated ball was the one that bounced the highest and the freezing ball was the lowest temperature bounce. The three variables of this experiment was independent, dependent, and control. The independent was the temperature of the basketball. The dependent was the height of the bounce. Finally, the control was the floor surface, the height of the drop and the basketball room temperature. The tools that the experiment needed was the thermometer to check the temperature of

"There are several different kinds of relationships between variables. Before drawing a conclusion, you should first understand how one variable changes with the other. This means you need to establish how the variables are related - is the relationship linear or quadratic or inverse or logarithmic or something else" ("Relationship Between Variables ", n.d)

The purpose of this lab was to find out how the amount of time that has elapsed affect the position of the car away from the point of origin. Our hypothesis was if the time elapsed is longer, then the car is going to be further away from the point of origin. In this lab the independent variable-what you are changing is time. The dependent variable-what you are measuring is how far the car is from the point of origin after a certain amount of time (3 seconds, 6 seconds, and 9 seconds). The controls-things that stay the same throughout the whole lab is the car we used, the meter stick that we measured in centimeters with, and the 40 centimeters of tape that we used to mark the position of the car. Materials we used was a car, 40 centimeters of

This is an experimental study because it involves the manipulation of the variables at various degrees and seeing the effects of such a manipulation.

The reason for conducting this experiment was to find out if colored pencils can be more dangerous than a regular, wooden pencil. The hypothesis states that if the lead in a colored pencils is exposed to flame then it will be more flammable than the lead in a regular wooden pencil. The independent variable was the brand of the colored pencil. The dependent variable was the flammability of the colored pencil’s lead. The flammability of the colored pencil will be measured by mass to see which one changed in mass the most. The colored pencil will be weighed to see how many grams it is. After lighting flame to the colored pencil, it will be weighed again to see how much the mass changed. The results of this experiment were very similar. In each

The dependent variable is toys. The types of toys were using are rubber duck toy cars

Procedure: Have two(2) students run in place for two minutes and two student relax for two minutes, after the two minutes are up the four(4) students must squeeze clothespins for one(1) minute. The trial is done three(3) times each.

This conclusion has been made by interpreting r and r2 within the problem and comparing them with the other explanatory variables. First, “r is a measure of correlation between two variables”, so this means the closer r is to one the closer the two variables relate. Also, “r2 is a measure of how well a regression line approximates the data points and a r2 of one indicates that the regression line fits perfectly”, so again the closer this value is to one the better the correlation. In this we will be using the explanatory variables which are the weight of the pumpkin, the pumpkins waist size, and the amount of grooves the pumpkin has. The response variable is the amount of seeds each pumpkin has.

In Part 1, I conducted a statistical experiment to determine if a linear relationship exists between each of my independent variables and my dependent variable, which were biological in nature. My independent variables were height (inches) and age (years). My dependent variable was weight (pounds). The goal of my experiment was to observe a linear correlation between an 18-22 year-old male’s height and weight. I collected my data by randomly selecting a sample size of 25 male individuals who attend Montclair State University. The best method of prediction would

In the Bobo Doll experiment conducted by Albert Bandura, researchers were interested in testing children’s behavior in response to their exposure to violence. This study was constructed with 72 children, 36 boys and 36 girls from Stanford University Nursery School. Before the study began, each child was individually scored on his or her level of aggression towards others, as rated by the experimenter and the child’s teacher. Then the children were separated into groups based on a similar score of aggression. The children were separated into three groups of 24 children. The three groups allowed the experimenter to create the conditions used to test the children’s response to violence, which was the independent variable, as it affects the children’s aggressive behavior, the dependent variable. The first group of subjects was the aggressive model group, where the subjects were presented in a

I am going to investigate if there is a relationship between the height of Waitutu forest saplings, and their width (measured at breast height). Both the explanatory variable and the response variable are measured in centimetres. This data was taken from randomly selected trees in study plots of either 1.5 hectares or 2.25 hectares of the Waitutu Forest in the summer. The data was published by the Landcare research NZ.ltd in the Waitutu Forest, Southland 2001-2008. I think that the data will show a positive relationship in that as the height of the sapling increases, so will the width.