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Math~Graphs

Math Project for 212
by

Laura Camila Fernandez Morales

on 18 September 2013

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Transcript of Math~Graphs

Created By~
The hypothesis statement is that we believe that as a person grows older, their height will increase.
Laura Fernandez
Introduction
Occurs when we want to determine relationship between two factors on this case.

Independent variable :Age.
It is affected by the data, and the value doesn't affect the variable.
Dependent variable :Height.
It is affected by the independent variable.
Other Questions
We used a sample of 154 S.T. Jean De Brebeuf students from different courses
The sampling technique that we used with two different variables ages and heights is a stratified sample where population was divided into shared common characteristic. We need to find a logic answer to the hypothesis statement.
Age One-variable
Height One-variable
Total population is 154 people with ages on 11,12,13,14,15,16,17,18,19,20,21,22,23,24,25 intervals
11-13
14-16
17-19
20-22
23-25
Histogram Graph
Total population is 154 people with heights on intervals
54-58 Inches
58-62 Inches
62-66 Inches
66-70 Inches
70-74 Inches
Mean: 65.37662
Median: 64
Mode: 64
Standard deviation: 3.890793
Range: 16
age affects height
Survey
Video Human growth facts
Calculation Two-Variable
1. What is your gender
a)Male b)female
2. What is your Age?
a)11-13 b)14-16 c)17-19 d)20-22 e)23-25
3.What is your height
a)4'6-4'10Feets b)4'10-5'2Feets c)5'2-5'6Feets d)5'6-5'10Feets e)5'10-5'12
Age Vs Height
Correlation of coefficient: 0.122309
Positive line correlation Weak
Therefore, the line of best fit for this data is
y=0.2418x+61.434
R^2=0.015
GRAPH
Table
Table
4. What is your Daily intake of food
a)1 meal b)2 meal c)3meal d)4meal e)5meal
5. Do you partake in physical activity
a)Yes b)No
if yes, what are they?
6.How tall your parents?
Mom: Dad:
7. Are you still growing?
a) Yes b)No
9.Do you do any heavy lifting
a)Yes b)No
10. Have you been in accident or broken any bones
a)Yes b)No
8.Who is the tallest person in you family, how tall are they:
Daily meals

1 meal
2 meal
3 meal
4 meal
5 meal
People

8
21
90
11
24
Physical activity People

Yes 107
No 47
Still Growing People

Yes 96
No 58
Two-Variable Information
any heavy lifting People

Yes 86
No 68
Some accident or broken any bones People

Yes 60
No 94
Histogram Graph
Mean: 16.30519
Median: 15
Mode: 15
Standard deviation: 1.968138
Range: 6
Ages Vs Height
Ages Vs Heights
ANY QUESTIONS
MDM4U1
INDEPENDENT: Ages
DEPENDENT : Heights
heights variable have frequency data points of all intervals.

Interval from 62-66 inches,they have a higher frequency.


The rest of the population has few data points.
we have a linear correlation of coefficient 0.122309

A direction positive and weak.

In this case the interpolation is a prediction
Result
Future research
HYPOTHESIS
My present factors that goes with the hypothesis prove, if it is real a false
The results from the surveys meet the statistic theory.
The studied population of the independent variable ages had a greater frequency in the interval 14 to 16 years. The studied population of the dependent variable heights had a greater frequency in the interval 62 to 66 inches. The dependent and independent variable have a weak correlation, coefficient and as a result, the hypothesis is not possible.

Students in grade 10 to 12 with ages of 14-16 have a higher frequency.

No data points on ages intervals from 11-13. and 23-25

Between the ages 17-22 represent, the rest of the population with less frequency.
The hypothesis statement is not possible, when a person is growing older, and his height maybe or maybe not increase. the human body has a limited, where the person will stop growing.
Conclusion
Sample 154 students

Average ages: 16%

Average height: 65%

Positive Linear Correlation WEAK

In the moment when your mom is pregnant. You will grow until you reach the age of 21 approximately. This is time where you stop grow up
Full transcript