CHILD ABUSE, CHILDHOOD & HISTORY
4 star(s)
- Level: AS and A Level
- Subject: Maths
- Word count: 1163
Investigate the relationships between height and weight
Extracts from this document...
Introduction
G.C.S.E MATHS COURSEWORK
CLEMENTSWOOD HIGH SCHOOL
Introduction
In this coursework I am to investigate the relationships between height and weight. To do this I will be drawing graphs to see if the correlations are weak or strong and if it turns out to be positive or negative correlation.
I will be using pilot study in order to test if the hypothesis is right or wrong. I will then go on to investigate me anomalous result and justify my results.
I will finally investigate the results from the random selection of children from Clementswood High School.
Hypothesis
I am going to investigate the relationships between height and weight. I chose this hypothesis because it seems to be the most interesting to study. My expected result will be clear and will show a strong relationship between height and weight in year groups and gender. To prove my hypothesis I will use tables such as box and whisker diagrams and use various methods to pick my data randomly to show it doesn’t have biased results.
Middle
YEAR 10
9
11
20
YEAR 11
8
8
16
117
YEAR 7 MALE (height & weight)
The correlation of height and weight in this graph of Year 7 male is weak.
YEAR 7 FEMALE (height & weight)
The correlation of height and weight in this graph of Year 7 Female is strong.
YEAR 8 MALE (height & weight)
The correlation of height and weight in this graph of Year 8 Male is not quiet strong.
YEAR 8 FEMALE (height & weight)
The correlation of height and weight in this graph of Year 8 Female is strong.
YEAR 9 MALE (height & weight)
The correlation of height and weight in this graph of Year 9 Male is strong.
YEAR 9 FEMALE (height & weight)
The correlation of height and weight in this graph of Year 9 Female is Weak.
YEAR 10 MALE (height & weight)
Conclusion
Year 7 Females
Height (Lower Quartile and Upper quartile)
Lq 1.03 Uq 1.54
Iqr 0.51
The outliers are 1.03 and 1.54 but there are no anomalies in this data
Weight (Lower and Upper quartile)
Lq 40 Uq 70
Iqr 30
The outliers are 26.875 and 61.875 but there are no anomalies is the data
Year 7 Males
Height (Lower Quartile and Upper Quartile)
Lq 147 Uq 159.5
Iqr 12.5
The outliers are 134.5 and 172
Weight
Lq 39.5 Uq 49.5
Iqr 12.5
The outliers are 29.5 and 59.5
Year 8 Females
Height (Lower Quartile and Upper quartile)
Lq 155 Uq 163
Iqr 8
The outliers are 145 and 173
Weight (Lower and Upper quartile)
Lq 45 Uq 52
Iqr 7
The outliers are 36.25 and 60.75
Year 8 Males
Height (Lower Quartile and Upper Quartile)
Lq 152 Uq 162
Iqr 15
The outliers are 133.25 and 185.75
Weight
Lq 38 Uq 52
Iqr 14
The outliers are 20.5 and 69.5
Year 9 Females
Height (Lower Quartile and Upper quartile)
Lq 153 Uq 162
Iqr 9
The outliers are 141.75 and 173.25
Weight (Lower and Upper quartile)
Lq 45.25 Uq 52
Iqr 6.25
The outliers are 36.8125 and 60.4375
Year 9 Males
Height (Lower Quartile and Upper quartile)
Lq 154.25 Uq 172.5
Iqr 18.25
The outliers are 131. 4375 and 195.3126 but there are no anomalies in this data
Weight (Lower and Upper quartile)
Lq 45.5 Uq 60
Iqr 14.5
The outliers are 27.375 and 78.125 but there are no anomalies in this data
This student written piece of work is one of many that can be found in our AS and A Level Probability & Statistics section.
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