**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