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GCSE: Data Handling

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1,411 GCSE Data Handling essays

Marked by Teachers essays 2

Height and Weight of Pupils

There are one or two good ideas in this work but there are too many missing diagrams to make it a good piece of work. 2 stars…
- Essay length: 3444 words
- Submitted: 08/05/2011
- Marked by teacher: Mick Macve 18/03/2012
Reaction Times

There are some nice ideas in this work but there is a very misleading use of graphs without a horizontal scale. However, some good examples of stem and leaf diagrams…
- Essay length: 920 words
- Submitted: 12/02/2011
- Marked by teacher: Mick Macve 18/03/2012
Statistics GCSE Coursework. Height and weight of pupils. The sampling method I am going to use is stratified sampling. This method is appropriate as the data is split into strata already (year group/gender)
- Essay length: 6171 words
- Submitted: 23/01/2012
Statistics Coursework. I am going to study the wealth of countries in the world (GDP) and what affects this. Hypothesis 1: Countries with a higher Index of Economic Freedom have a higher GDP per capita.
- Essay length: 1174 words
- Submitted: 08/01/2012
I am going to find out the year 10 male average student at Weavers School. I will collect the data on hair colour, height and weight and see the differences between 2009 data and 1996 with the help of some graphs and some complex calculations
- Essay length: 2193 words
- Submitted: 20/11/2011
The relationship between level of parental education and SAT scores
- Essay length: 1385 words
- Submitted: 30/05/2011
For our GCSE statistics coursework, we were given the question Where are houses most expensive? To answer this question I have posed the hypothesis House Prices for 3 bedroom detached houses in the North of England are cheaper than those in the s
- Essay length: 1710 words
- Submitted: 05/04/2011
Statistics coursework Edexcell
- Essay length: 2398 words
- Submitted: 24/03/2011
HYPOTHESIS: Boys at Mayfield School are Taller and Weigh more average in comparison to females
- Essay length: 3823 words
- Submitted: 15/03/2011
IGCSE Modeling Project bouncing ball
- Essay length: 656 words
- Submitted: 21/02/2011

Graphs

1 If one of the variables is time, then a line graph is normally the most appropriate choice.
2 Always have a constant scale along the axis, this will allow you to see the relationships in the data.
3 When asked to give an interpretation, it means to state what is obvious about the graphs. For example, the sale of umbrellas increases when rainfall increases.
4 When drawing a pie chart, turn the amounts into fractions, if there are 100 animals and 15 cows. We have 15/100, put this into the calculator and multiply the answer by 360. This is the amount of degrees for the cow section.
5 Bar charts must have gaps between each bar otherwise it is not a correct bar chart.

Averages and speed

1 There are three types of average mean, mode and median.
2 The mean is the sum of all the values divided by the amount of values. The median is the middle value and the mode is the value that occurs the most.
3 There are two main types of spread, inter-quartile range and range. If the range or inter-quartile range is big compared to the data then the data has a large spread.
4 The inter-quartile range is the upper quartile minus the lower quartile; the range is the highest value minus the lowest value.
5 Mean and range are affected by outliers. In a class, the teacher is older than the students, so the mean and range would be affected by the teacher’s age; therefore the mean and range are not very accurate measures. The inter-quartile range and median would be more appropriate.

What is probability?

1 Probability is always between the values 0 and 1. If something has the probability of 0 it is impossible, if something has the probability of 1, it is certain.
2 Finding probabilities of 1 and 0 are very difficult. Elvis Presley crashing a spaceship into the Loch Ness monster has a probability of about 0.0000000001, but it isn’t quite 0. However, scoring a 7 on a normal dice has a probability of 0.
3 In a scenario, the different probability of all the outcomes will add up to 1.
4 Scoring a “2” on a normal unbiased dice has a probability of 1/6. This doesn’t mean that every 6 throws you score a “2”. This means that if you rolled the dice 6 million times, you would expect to score about 1 million “2’s”.
5 Experimental probability is only reliable after a lot of tests, and it can always be improved by doing more tests.

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GCSE: Data Handling

1,411 GCSE Data Handling essays

Height and Weight of Pupils

Reaction Times

Statistics GCSE Coursework. Height and weight of pupils. The sampling method I am going to use is stratified sampling. This method is appropriate as the data is split into strata already (year group/gender)

Statistics Coursework. I am going to study the wealth of countries in the world (GDP) and what affects this. Hypothesis 1: Countries with a higher Index of Economic Freedom have a higher GDP per capita.

I am going to find out the year 10 male average student at Weavers School. I will collect the data on hair colour, height and weight and see the differences between 2009 data and 1996 with the help of some graphs and some complex calculations

The relationship between level of parental education and SAT scores

For our GCSE statistics coursework, we were given the question Where are houses most expensive? To answer this question I have posed the hypothesis House Prices for 3 bedroom detached houses in the North of England are cheaper than those in the s

Statistics coursework Edexcell

HYPOTHESIS: Boys at Mayfield School are Taller and Weigh more average in comparison to females

IGCSE Modeling Project bouncing ball