# PAPER AIRPLANE EXPERIMENT Essay Example

• Category:
Statistics
• Document type:
Assignment
• Level:
Masters
• Page:
1
• Words:
633

Paper Airplane Experiment

Paper Airplane Experiment

Response Variable

Normally dependent or response variable is the variables in an experiment that are observed or measured. On the contrary, the other variables in an experiment that usually affect a response and can be assessed by the person conducting the experiment are known as independent variables, explanatory, or predictor.

For instance, from the data provided, the performance of the plane is independent of the thrower

 Possible predictor variables Possible response variables Plane Distance Time of the day, General temperature Moisture of the atmosphere, thickness of the plane Plane Fly Height Amount of light, nature of the atmosphere, frequency of weather Size of the plane, height of the plane

The categorical and a covariate predictor variable are sometimes known as the predictor variable or a factor. In the plane experiment the covariate could be the level of temperature and humidity factors (Pilger, 2015). Normally, one can create a plot for predictor variable on the x-axis and that of the variable response on the y-axis.

Design of the Experiment

GROUP DATS SHEET

Activity 1: Methods of Science and Paper Planes

What is the design of the Plane in the Group?

 Flying Squirrel Big Brown Bat Grasshopper Dragonfly Bald Eagle Sparrow Hawk
 Thrower 1 Thrower 2 Thrower 3 Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower Data Recorder Measurer Thrower

PREDICTION

Which plane moved the farthest distance? Table 1: Airplane Distances Table 2 Paper Airplane Working Chart Source: Google photos

EXPERIMENT

 Plane Number Throw 1: Centimeters Distance Throw 2: Centimeters Distance

Observation

Name the design of the plane

Name the control design of the plane

What was the unit of measurement?

How far did the plane fly?

Name the independent variable tested

In order to analyze this analysis, a Fit General Linear Model was applied to analyze the design measures in Minitab. In the above experiment, each subject received equal treatment in succession. A three column Minitab Worksheet was created. Initially, the first column represents measurements, the other column for identifying the subject matching the measurement. Finally, the other column represents establishing the treatment of the subject. ANOVA TEST

In the designed experiment every subject is measured after successively receiving the different combination of the two factors levels A and B.

Descriptive Statistics and Graphs Descriptive Statistics: time

Variable plane N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum

time 1 12 0 1.0925 0.0473 0.1638 0.8500 0.9375 1.0700 1.2100 1.3500

2 12 0 0.8133 0.0411 0.1425 0.6000 0.7050 0.8500 0.8975 1.1100

3 12 0 1.1217 0.0448 0.1551 0.8300 0.9700 1.1650 1.2075 1.3500

4 12 0 1.3192 0.0777 0.2693 1.0500 1.0800 1.3200 1.3950 1.8300

Population Samples

The final distances of the airplanes are the population because the purpose of the experiment is to establish the inference from the scores of other airplanes.

Measures of Central Tendacy The arithmetic mean is known as the average set of population interval. The average mean for the time flied is µ = (100 + 125 + 98 + 105 + 98)/5 = 512/5 = 101.4  The Median

The Median that is the central value after the data has been arranged in an ascending order and the middle value ascertained. Median = (8+6)/2 = 7

The Mode value is 3.3 Figure 1: Symmetric Data Figure 2: A Left Skewed data

The above figure indicates a symmetrical and normal mean of 51 and a median 52 with a range of 37 cases.

Reference

Pilger, M. A. (2015). Science experiments index for young people. Westport, Conn: Libraries Unlimited.

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