India PopulationPyramid for 1995
India Population Pyramid for 1995 Age and sex distribution for the year 1995: India Population Pyramid for 2000 Age and sex distribution for the year 2000: India Population Pyramid for 2003 Age and sex distribution for the year 2003: India Population Pyramid for 2005 Predicted age and sex distribution for the year 2005: India Population Pyramid for 2010 Predicted age and sex distribution for the year 2010: India Population Pyramid for 2020 Predicted age and sex distribution for the year 2020: India Population Pyramid for 2050 Predicted age and sex distribution for the year
The aim of this investigation is to examine whether or not the number of people per doctor affects a countries average life expectancy.
Statistics.2 - Bivariate Data Ben Ward AIM: The aim of this investigation is to examine whether or not the number of people per doctor affects a countries average life expectancy. The life expectancy of many lesser economically developed countries is lower than that of more economically developed countries. Generally, better-developed countries have a greater doctor to population ratio. So I wish to determine whether this is a factor that affects life expectancy. I choose this investigation, as I'm interested in geography particularly travelling. I plan to take a gap year after my A-levels, prior to university and hopefully visit many areas of the world including less economically developed countries. This led me to an interest in the variation of death rates between countries and I decided to compare this data to the number of doctors per person and to see if this influences the death rate in anyway. DATA COLLECTION: Firstly, I collected a list of all the countries in the world and their doctor to patient ratio. I got my data from a school Atlas I acquired from the college library; I collected the data from the same source as it was obtained in the same year. The countries were listed alphabetically and assigned a number. Using a graphics calculator I generated a random number, using a random function and chose a sample of 50. However, some numbers were generated twice
I want to find out if there is a connection between people's IQ and their average KS2 SATs results.
Maths Statistics Coursework Aim: I want to find out if there is a connection between people's IQ and their average KS2 SATs results. I have gotten my data from the internet and I will take what I need to use in my coursework. Hypothesis 1: I predict that the higher someone's IQ is, the higher their average KS2 SATs results will be. Plan and Analysis: I found a sheet of data put onto Microsoft Excel on the internet for a fictional school called Mayfield High School. Even though the school is made up, the data is based on real people and there are 1183 students in all. The data is details of male and Female students in years 7 to 11 e.g. Height, Weight or favourite colour. This data is a secondary piece of data, I had not collected the information myself, and it was already on and Excel worksheet ready for me. Also the data for each individual student that I have is mixed, some information is discrete (favourite TV program or IQ), but some pieces of information are continuous (height or weight). I had decided to see the connection between students IQ and her average KS2 SATs results. To do this I had to take a sample of students out of all the data that I had, for I could not sample the whole population, as there are too many students. I decided that a sample of 50 students was big enough to get a decent and fairly accurate result, but small enough not give me too much
There are many ways of comparing the birth rates of countries compared to other countries, and one way may be to look at the life expectancies of the countries.
Statistics Coursework 2 Aim There are many ways of comparing the birth rates of countries compared to other countries, and one way may be to look at the life expectancies of the countries. I believe that there is will be a correlation between the two variables: Average birth rate of a country per 1,000 and Life expectancy of a country. I think that the higher the life expectancy, the lower the birth rate, and vice versa. If there is a correlation, then it will be a negative one, and it also means that by looking at the life expectancy of a country, you may be able to estimate the birth rate of that country. Data Collection I found my data for both, life expectancy and birth rate of 196 countries, from a website, www.globastat.com. The data for each was collected from the same year, 2001, and so is fairly up-to-date reliable, and accurate. My 'population' is of countries in the world. There were a total of 196 countries for both life expectancy and birth rate, and the same countries were found in both lists, therefore making my selection a little easier. I needed to choose a sample from the total, and I chose to use 60 countries for their data. I chose these 60 by a random process: by typing Ran#196 in my calculator, my calculator gave me a random selection between 001 and 196, therefore enabling me to choose my 60 countries with ease. As the process is completely random,
Investigate if there is any correlation between the Death rate of a country (deaths/1,000 population) and the Life expectancy at birth (years).
` Aim: My aim is to investigate if there is any correlation between the Death rate of a country (deaths/1,000 population) and the Life expectancy at birth (years). The Death rate of a country is the amount of people dying per 1000 population in a given year. The life expectancy at birth shows the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. It shows the life expectancy on average for the total population for male and females. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. The reason for doing this investigation is that I have seen a lot of documentaries and read a lot of articles in the newspaper which have talked about how countries with higher death rates have lower life expectancies. I will like to prove this theory and see if the data correlates. Data collection: The data I collected was the Death rate of a country (deaths/1,000 population) and the life expectancy at birth (years). I have collected data for these two variables from the whole world. Both my variables are random. So my population is defined as the whole world. I obtained the data from the www.CIA.gov website. I got 200 pieces of data for both of them. So from the 200 I used a sampling method of choosing every 4th country on
The average pupil.
GCSE Maths Coursework The average pupil The aim of this study is to find the statistics for the average school pupil. This will be achieved by looking at the results of a survey carried out at Jordan Hill comprehensive. Hypotheses: How the education system has changed in its efficiency, over four years. The weight of a pupil will increase with the amount of television watched per week. The hair colour of a pupil will affect their IQ. How I will achieve this? This will be achieved by using samples of the given material. Specifically a sample of 50 people will be used for the first hypothesis, and then a sample of 30 will be used for the next two hypotheses, as to not be too time consuming. I will be using a stratified sample for the first hypothesis, and then a random sample from that point forward. Why am I using Stratified and Random sampling to acquire my sample? From studying the data sheets I have decided to use a stratified sample. I have chosen this method because it would appear to be the most efficient method of sampling in order to tackle this amount of data, and I feel that the sample is plenty large enough for the results to be significant. I have also chosen a random sample because it cannot become bias, if some strata are larger than others. This is also because gender, or age will not affect the two last hypotheses. It will also provide me with
The Relationship Between Price, Date of Release/ Re-Release of a Sample of 52 Randomly Selected Films
The Relationship Between Price, Date of Release/ Re-Release of a Sample of 52 Randomly Selected Films The title of my investigation is 'The Relationship Between Price, Date of Release/ Re-Release of a Sample of 52 Randomly Selected Films. As you can interpret from this title, I am going to investigate to see if the Price and Release/ Re-Release a set of selected feature length films is effected by I will also be seeing if there is a relationship between the length of the title and the film and also to see if modern films are longer than earlier ones. I have chosen to investigate into this topic because I am interested in Films and I am currently studying Media, And I wish to find out if an audience after they have finished watching a film how popular the film is on video, In short, my aim for this investigation is to find if here is a relationship between the price of a video and the time it was released / re-released. I planned this coursework for future reference so I could add the information to my media coursework as a tested fact. To determine a population for my course-work, I am going to use the HMV superstore Internet site to search for my sample of films. This film site is split up into categories corresponding to letters of the alphabet; therefore there are a total of 26 categories as there is 26 letters of the alphabet. Each category contains roughly 500 films
Investigate if there is any correlation between the GDP per capita ($) of a country and the life expectancy at birth (years).
Aim: - My aim is to investigate if there is any correlation between the GDP per capita ($) of a country and the life expectancy at birth (years). The GDP is the gross domestic product or value of all final goods and services produced within a nation in a given year. GDP dollar ($) estimates are derived from purchasing power parity (PPP) calculations. The GDP per capita ($) shows GDP on a purchasing power parity basis divided by population. The life expectancy at birth shows the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. It shows the life expectancy on average for the total population for male and females. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. The reason for doing this investigation is that I have seen a lot of documentaries and read a lot of articles in the newspaper which have talked about how the gap between rich and poor has increased. This has led to a poorer quality of life in developing countries. So I wanted to see if there was any link between how rich a country is per person and what on average is the life expectancy for a person is in that country. This will help me get a better understanding of how rich a country is how much it affects the quality of life. This is the reason why
I am investigating how well people estimate the length of a line and the size of an angle.
I am investigating how well people estimate the length of a line and the size of an angle. I am going to compare the following: * Year 7 compared to year 10 (Boys and girls) in estimating the size of an acute angle. * Girls compared to boys (Years 7 and 10) in estimating the length of a short line. I am going to compare these two because it is a very wide range of data. I am going to sample 40 people for each investigation, For example: * 40 people from year 7 and, * 40 people from year 10. A questionnaire has been circulated to a variety of people in set 1-5 and year 7-sixth form. The questionnaire includes questions, such as: * Estimate the length of this line * Estimate the size of this angle * Estimate the length of this squiggle For Investigation 1 'Year 7 compared to year 10 in estimating the size of an acute angle' My hypothesis is that a larger amount of year 10 will be better at estimating the size of an angle than year 7. I think that more people from year 10 will be better at estimating the size of an angle because they have been in education longer and are more advanced at maths, while year 7 will be less advanced as they haven't been in education as long as year 10. For Investigation 2 'Girls compared to boys I estimating the length of a short line' My hypothesis is that girls will be better at estimating the length of a line and the size of
There are many measurements available to monitor changes in breathing capacity. One of the simplest measurements used by doctors and patients would be the peak flow meter
Peak flow measurement Introduction There are many measurements available to monitor changes in breathing capacity. One of the simplest measurements used by doctors and patients would be the peak flow meter. A peak flow meter is a "portable instrument that detects minute decreases in air flow, used by people with asthma to monitor small changes in breathing capacity"1. The peak flow meter has two parts, a mouth piece and a meter measured in litres per minute (L/min). This type of measurement is used for diagnosis and self-management; it is very cheap and easy to manage by the patient. But unfortunately it is not very accurate as the meter only measures in every 10 L/min. There will be a greater inaccuracy to smokers since they have greater damage in there bronchioles. A peak flow meter will help the patient to tell what is going on in his airways rather than guessing the way a patient feels, also it will help whether the patient needs to change his treatment. Asthma is a "medical condition which makes breathing difficult by causing by causing the air passages to become narrow or blocked"2. The tightness of the air ways can cause one or more of the following symptoms: * Wheezing * Coughing * Shortness of breath * Chest tightness The narrowing of air passages is caused by airway inflammation (airways in lungs become red, swollen and narrow). Unfortunately the cause of