I have been given instructions to collect data for my GCSE statistics coursework and then to represent them by interpreting them using graphs and attributes, which I think influence the prices of a second hand car.

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STATISTICS COURSWORK year 10

I have been given instructions to collect data for my GCSE statistics coursework and then to represent them by interpreting them using graphs and attributes, which I think influence the prices of a second hand car.  Below is my coursework flowchart that will show the steps I will take to complete my coursework.

FLOWCHART
















HYPOTHESIS

I think that the age, make, amount of owners will affect the price of the second hand cars. In the investigation, I will use several different types of charts and graphs to support and show my hypothesis is correct and to show if my predictions were incorrect, or correct. After I have investigated some of the attributes, I will then draw up another hypothesis and see what will happen at the second half of my investigation. I think that if things do change, the tax amount and mileage may affect the price.

DATA COLLECTION

There are many types of data, to obtain it we must observe and measure something. This is known as a variable, there are two types of variables:

-Quantitative variables, which have NUMERICAL observations or measurements.

-Qualitative variables, which have NON NUMBERICAL observations or measurements.

The other types of data I may consider using are

Continuous data which are measured on a scale and can take any value on that scale

Discrete
 data which is concerned with a number of countable values.

Collecting data

Two types of data used can be Primary data and secondary data.

Primary data is data that is collected by or for the person who is going to use it. Secondary data is data that is not collected by the person who uses it.

Data can be collected using an experiment of survey. In a statistical experiment, one of the variables is controlled while the other is observed.

The controlled variable is called the explanatory or independent variables
The effect being observed  is called response of dependent data.

A Survey can be particularly useful because the data is likely to be personal. It may fail however if a person was not telling the truth.

SAMPLING

When sample data are collected, information is taken from part of the population. The information is then used to make conclusions about the population.

RANDOM SAMPLING

Random sampling is a sampling technique where we select a group of subjects (a sample) for study from a larger group (a population). Each individual is chosen entirely by chance and each member of the population has a known, but possibly non-equal, chance of being included in the sample.

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By using random sampling, the likelihood of bias is reduced.

Simple Random Sampling 

Simple random sampling is the basic sampling technique where we select a group of subjects (a sample) for study from a larger group (a population). Each individual is chosen entirely by chance and each member of the population has an equal chance of being included in the sample. Every possible sample of a given size has the same chance of selection; i.e. each member of the population is equally likely to be chosen at any stage in the sampling process.

Stratified Sampling 

There may often be factors ...

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