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 PAPER AIRPLANE EXPERIMENT
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 xaxis and that of the variable response on the yaxis.
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.