42 results found

#### GCSE STATISTICS/Data Handling Coursework 2008

GCSE: Data Handling Coursework Introduction For this data handling project, I shall use data from athletics; track and field events and also the mass and height of the pupils from years 7 to 11, from the Athletics data spreadsheet. The subjects are only boys, from one school. There is a large amount of data in the sample, including times for 100m, 200m, 400m, 800m and 1500m, and also events such as long jump, triple jump, shot, javelin and discus. There is also a bleep test result and height and mass of students too. The data should be reliable, however I shall check for any anomalous records, then discard any from my sample. I shall make three hypotheses based upon this data. I shall then show how I will test these hypotheses in my plan to prove or disprove them. Hypotheses The bleep test is an indication of aerobic respiration, event within the data; it is a test of endurance and also fitness. I think that fitness and health are related and the BMI, body mass index, of a person can be a good representation of health, despite sometimes not taking into account people with high muscle: fat ratios. I therefore think that people with a BMI in the "healthy" 20-24 bracket will have a better score for the bleep test than those outside of it. As children grow, they grow stronger and fitter, the shot putt is a good test of strength. Therefore I think that people have a further

• Word count: 3338
• Level: GCSE
• Subject: Maths

#### The investigative task. Do housewives or working adults have a faster working pulse rate?

The Investigative Task Investigate: Do housewives or working adults have a faster working pulse rate? I am going to investigate this area of my investigative task topic, because I have always wondered this question, because when ever I want something after I come back from school they are always telling me they are tired so which one of them is more tired my mum the housewife or my father who is the working adult. Now there are many ways that you can investigate and find answers to this question like taking there pulse rates, or timing how long it takes them to do something and the one with the longest time would be the one most tired, but I have used the method of taking results of their pulse rate. I am using his method because it is the most easy and eligible one for me to carry out as a task. I plan to find out the answer of this question, by taking results of many of my results, but halving the amount up so I would get possibly 8 relatives that work and 8 relatives that are housewives. I will record the results, then go further looking for pattern and finding the average pulse rate for each category, furthermore to make this topic more interesting and to spot patterns more easily I will put my results into a graph and then investigate further from that. My hypothesis is that working adults would have a higher pulse rate because; working adults get up earlier

• Word count: 1493
• Level: GCSE
• Subject: Maths

#### Maths Mice Coursework

Mice Coursework Introduction In this coursework I am going to compare two sets of data about the weight of male and female mice. I am then going to make a hypothesis about the weights of these mice and then find out whether or not I am correct. Hypothesis My hypothesis is that male mice will be heavier than the female mice. I think this because usually males need to eat more and tend to be bigger. Grouping the Mice. In this coursework I will also have quite a few graphs. By making these graphs I can compare the data and then see if the results support my hypothesis or not. I will start of by put the mice into groups. By doing this it will save me a lot of time and make my data my easier to compare. Also grouping the data enables me to draw the graphs which help me to compare the data. After I group the data I will also find the mean average for both sets of mice. Female Groups Frequency (f) Midpoint (X) f x X 0 ? w < 5 5 ? w < 10 0 ? w < 15 5 ? w < 20 20 ? w < 25 25 ? w < 30 0 9 29 7 25 27 2.5 7.5 2.5 7.5 22.5 27.5 0 42.5 362.5 22.5 562.5 742.5 Total: 107 Total: 1932.5 So the mean average of female mice is 1932.5÷107= 18.10 (2 d.p. places) Male Groups Frequency (f) Midpoint (X)

• Word count: 539
• Level: GCSE
• Subject: Maths

#### Mathematics Handling Data Coursework: How well can you estimate length?

Mathematics Handling Data Coursework: How well can you estimate length? Introduction A school teacher asks two sets of students to estimate the length, in metres and to two decimal places, of a 1.58 metre long stick, held up horizontally in front of them; this is to prevent pupils from comparing the stick to the teacher's height. 178 Year Eleven pupils and 173 Year Seven pupils are asked. Hypothesis I believe that the Year Eleven pupils will be more accurate in their estimation than those in Year Seven. This is because they are older, more knowledgeable at Mathematics and have also been estimating lengths for a longer amount of time than Year Sevens. My Plan As there are over 170 pupils in each year, I will only be using a sample of fifty pupils from each year. I will randomly select these fifty pupils, using a certain method. I will then group my fifty data values into a grouped frequency table. This is because fifty is still a large number of lengths to be dealing with when carrying out certain calculations. Using my random data values, first I will calculate the mean. The mean is a type of average, which represents the pupils' accuracy at estimation. As I believe that Year Eleven's estimations will be more accurate than the Year Seven's, I therefore predict Year Eleven's mean value to be close to 1.58m. Next I will calculate the standard deviation of the two data

• Word count: 3196
• Level: GCSE
• Subject: Maths

#### The relationship between level of parental education and SAT scores

Introduction Background Research The literature has consistently shown that parent education is an important factor in children's academic achievement. Many studies have attempted to examine how parenting behaviors, such as the structure of the home environment, influence children's achievement outcomes. Some say that specific behaviors of parents, such as harsh parenting, nurturing and warmth can greatly influence the children's mentality leading to higher education achievement. In fact, parent involvement, such as counting the number of parent's involvement in volunteering, coming to school meetings, or conferences.1 has been shown to be an important variable that positively influences children's education. Researchers have examined the relationships between parent involvement and children's education achievement correlate to each other. There a study involving the correlation between SAT scores and family income by the New York Times. The article explaining the result of the relationship says that the wealthier a student's family is, the higher the SAT score. They used information from the College Board. Consider the graph below. Source: College Board 2 The graph has shown that there is a very strong positive correlation between income and test score. http://www.lewiscenter.org/research/inwhatways.pdf 2

• Word count: 1385
• Level: GCSE
• Subject: Maths

#### maths estimation coursework

Section B In this section of my assignment, I will carry out my own investigation on estimation similar to the previous investigations I have analysed. Although in this investigation I will improve upon the previous investigations, taking what they left out from their investigations and including it in my own. I am doing this investigation as the previous investigations had some missing information, and some did not have representative samples, my investigation will be representative of the estimating population and will have more reliable data to ensure that more conclusions can be drawn from the estimations given. The secondary data from the previous investigations seemed to suggest that there may be a link between estimation and gender, particularly David, Mary and John's results, I will see if this is the case in my own investigation, while also taking age into consideration at the same time. Also, Michael's data showed a correlation between estimation of angle and estimation of length. I will explore this also in my investigation. The estimating population shall be comprised of Year 8's and Year 12's from our school. I chose this population as there is a well-established age gap between the two years and I believe these will be reliable results a all of these year 12s are also doing estimation coursework and therefore will take the estimation. Also the age gap will

• Word count: 2224
• Level: GCSE
• Subject: Maths

#### Data Handeling

Maths Coursework In this piece of coursework I am going to explore the statement "the older a car is the cheaper it will be". To do this I am going to be inspecting two hypotheses: "the older a car the more miles it would have done" and "the more miles a car has done the cheaper it will be" To do this I have gathered the needed information on 40 cars, this would be the price when new, the price when used, the mileage and the age. The information was got from a used car sales place and to narrow the amount of cars information I have I will pick randomly from the list of around 200, I will randomly choose the information using the random number key on my calculator, I will the pick out the car number accordingly. Bellow is the information I will be working from: Car No. Make Model Price new (£) Age (years) Price old (£) Miles Travelled Citroen Saxo 7980 9 180 7980 3 Peugeot 206 9257 7 2780 20000 5 Ford Probe 20570 0 055 0000 2 Fiat Bravo 1970 7 885 51000 3 Renault Laguna 5580 4 6630 40000 4 BMW 525i SE 28395 0 3480 55000 6 Ford Ka 9725 8 2090 0000 20 Ford Fiesta 95-99 7695 0 755 0000 23 Honda Prelude 7320 0 810 6000 27 Citroen AX 7230 0 080 2000 31 Skoda Fabia 7950 5 3585 20000 37 Renault Clio 8800 7 2210 8000 48 Peugeot 06 9560 0 270 41000 55 Mazda MX-3 7170 0

• Word count: 1673
• Level: GCSE
• Subject: Maths

#### Mayfield High School

Mayfield High School Introduction I have decided to investigate the truth behind the theory that "Blonde haired, blue eyed people are better than others" brought out by Adolf Hitler. I will be trying to see if blonde haired, blue eyed I've decided to investigate "Are blonde-haired, blue-eyed people are generally better than people with other types of hair and eye colour. The concept of "aryanization" is a Nazi concept based on Hitler's ideology that the Aryan race is a master race, cleverer, more beautiful (in terms of females) and more muscular (in terms of males) than other races. I have decided to carry out an investigation to see if this true by looking at secondary school pupils. Mayfield High school is fictitious secondary school with records based on a real school. Using the student database, I will try to see if aryanization theory of the Nazis had any basis at all. Planning Mayfield High school has 1,183 students, of which 179 are blonde haired and blue eyed. There are 124 of these students in Key stage 3 and 55 students in Key Stage 4. I will be starting off with the students in Key Stage 3. This means I will be doing my research on students in Year 7 to Year 9. Secondly, I will research into the students of Key Stage 4, the students in Year 10 and Year 11. To do a proper investigation, I will have to take samples from each class. I will use the stratified

• Word count: 7924
• Level: GCSE
• Subject: Maths

#### This is my GCSE data-handling project, throughout which I will be discussing the topic of how sleep deprivation affects the reaction and ability to estimate a minute.

Statistics coursework Introduction: This is my GCSE data-handling project, throughout which I will be discussing the topic of how sleep deprivation affects the reaction and ability to estimate a minute. Plan: Hypothesis My hypothesis is: * People who get more sleep will have faster reaction times than people who get less sleep * People who get more sleep will be better at estimating a minute than people with less sleep. * Females will do better than males. Hopefully the competitive attitude of many people to tests involving males versus females will make sure that the subjects are trying to get the best scores they possibly can, and this should reduce the number of anomalous results I receive. To test my hypothesis, I will need to collect data from a random sample of people. The data I need to collect is: * Age * Gender * Reaction Time * Ability to calculate a minute * How many hours of sleep they get a typical night Data Collection I will collect the Age, and Gender and amount of sleep they get per night simply by asking the subject, but collecting results for the 'ruler drop' test will be slightly more complicated. Below I will describe the method I will use for all subjects. To perform this experiment I will use a reaction timer. The tester will hold the ruler, and whilst standing ask the subject to put their thumb and first finger over the bottom of the

• Word count: 940
• Level: GCSE
• Subject: Maths

#### 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 Hypothesis: 'House Prices for 3 bedroom detached houses in the North of England are cheaper than those in the south of England. Therefore the south is a more expensive region'. Hypothesis and strategy 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 south of England. Therefore the south is a more expensive region'. I chose this hypothesis as the south stereotypically have been known for having more expensive houses and therefore its occupants enjoy a higher standard of living than those in the north. I need to gather evidence to support my hypothesis or not to support my hypothesis. Also I have chosen a 3 bedroom detached house as this seems to be the average household that the bulk of the English population live in. I will gather evidence to help my investigation by doing the following: * Firstly I will collect my data, 30 pieces from the north and 30 from the south, from different counties in the north and south. * From the data I have collected I will produce a histogram to determine the shape of the distribution which is important as this will then show me the best measure of average that needs to be used. If the histogram shows a normal

• Word count: 1710
• Level: GCSE
• Subject: Maths