For the Barbie Bungee lab, the groups used their knowledge about Bivariate Statistics to accurately find the relationship between the number of rubber bands and the length barbie fell. After identifying this relationship, the groups used the line of best fit formula to determine how many rubber bands would be needed in order to drop the doll from a known height and get the closest to the ground without touching it. One group completed this lab and was able to get there doll to get as close as 19 inches from the ground after dropping the Barbie from a height of 280.24 inches in the air.

The Barbie Bungee lab was conducted in order to find the association between the amount of rubber bands and the distance the Barbie bungeed. Before performing the final experiment, the group conducted an initial investigation to get data that could be analyzed to examine the comparison from the amount of rubber bands to the length Barbie was able to bungee. In the investigation rubber bands would gradually be added one by one starting at two rubber bands. Each time a rubber band was added, three trial bungees were done and the lengths the barbie dropped were recorded. Using data collected from our background investigation, the group used excel to create a sheet displaying the data in a table, a graph showing the correlation constant, the line of best fit. The line of best fit was in slope-intercept form (y=mx+b) where y represents the length of the trial average; m represents the slope

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## The Clark Doll Experiment

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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

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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.

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## Basketball Temperature Lab Report

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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

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"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)

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## Point Of Origin Lab

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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

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## Data Types Quiz

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

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## Flammability Of Colored Pencils

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## Does Salt Water Affect The Toys

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

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## Clothespin Experiment

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## Regression Between Male Height, Age And Weight Essay

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## Bobo Doll Experiment Essay

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## A Relationship Between The Height Of Waitutu Forest Trees

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