Statistical Investigation
I have been approached by my local council who would like to try and
gain a better understanding of obesity in the local community. The
body mass index is the universal measurement of whether a person is
overweight. They are trying to decrease the number of future cases of
obesity and therefore, I must look at the future generation of adults,
so I will take this case back to its origin, I will take it back to
school. All the data that I require for this project will be provided
by the council. All results are from a local school called “Mayfield
High School”.
body mass index = weight/height²
Phase A:
As 1180 pupils is an extremely large number to work with, I have
decided that I will carry out a sample. The type of sample that I will
carry out is called a stratified sample. This means that I will
arrange them all in the order that I am going to investigate, and then
keep deleting entries and save every nth term. I have done this so I
get a nice small sample which is easy to work with, and most
importantly, represents the data that I am dealing with. Sampling is
more efficient and takes less time than using all the data.
After carrying out my sample and ending up with 100 statistics, I
created an extra column in my table called BMI (body mass index). I
felt that using the body mass index would be a more accurate
representation of a persons health. Because, although a persons weight
may be normal, they may be very short and obese. It is the combination
of height and weight that enables us to tell how
overweight/underweight someone is. After doing this, I rearranged the
whole table and sorted it by body mass index. Then I created a
cumulative frequency table. My categories for this were for people
having a body mass index between:
· 0 and 10
· 10 and 15
· 15 and 20
A sample of children ranging from 4 to 13 years old are going to be asked to watch a Rainbow Brite video. The children will be randomly picked from a childcare center. To ensure that the children are going to be randomly assigned, the children will range in different age groups. The first group will consist of 4, 6, and 8 year olds. The second group will consist of 10,12, and 14 year olds. It would have to be a field experiment because you have to go out and collect the data.
sample to give me 30 males and 30 females which I will use to test my
In statistics, a population is a collection of individuals, things, events, etc. The population is the topic that one wants to make inferences on, whereas a sample is a subset of the population that is being collected—to be studied. After the sample is studied in statistics, one draws an inference of the population. There are four general sampling methods used in statistics: representative sample, random sample and quasi-random sample, stratified and quota sample, convenience sample, and purposive sample. A representative sample should be unbiased and thus properly indicate a characteristic of the entire population. In a random sample nothing is biased; in other words, every individual, thing or event in the population has the same chance of being selected for the sample. Therefore, because of the randomness of the sampling, the selection of one item from the population in no way effects the selection of another item. A quasi-random sample is simply a number (nth), which is
“So we beat on, boats against the current, borne back ceaselessly into the past.” Although we may wish we could relive the past, what has been, has been – and never shall be again.
It took me all night but I did the assign work of writing. This writing assignment required me to pick two out of three question. i pick first and third question because i understand the question and completed them. The first question is about matching what statistic method on the three question implying the answer and what is the pros and cons of those statistical methods. The third question is proportional and finding the probability on it three question. The first part of this assignment is by do the conventional methods to find the question and knowing assign a label or attribute.
This paper is a critique of an article written by McKinney and Jones (1993) entitled: “Effects of a Children’s Book and a Traditional Textbook on Fifth-grade Students’ Achievement and Attitudes toward Social Studies”. In their research the authors examined the effects of a children’s book and a traditional social studies textbook on knowledge acquisition and attitudes toward social studies and the textbook in a sample of 57 fifth-graders. It is the intention of the present paper to develop analytical discussion and the holistic interpretation of the McKinney and Jones’s quantitative study (1993).
Statistics Investigation In this investigation I have been asked to carry out a line of enquiry with the statistics provided within a Microsoft Excel spreadsheet provided by Edexcel examining board. There are various different statistics for different things, some examples include; age, IQ, year group, height, weight and many more. A total of 27 categories are shown on the spreadsheet. My teacher advised me to carry out two main tasks within the overall investigation. It was suggested that I carry out one line of enquiry with two pieces of quantitative information, and then one more investigation that could either be with one piece of quantitative information and one piece of qualitative or with two pieces of qualitative information.
As a population, we are bombarded with percentages and statistics, but how does one know if what we are being told is correct? The book How to Lie With Statistics by Darrel Huff was written to help readers better understand statistics especially when they are presented to us in ways that can be misleading or misunderstood. The book is not meant as a guide on how to change or manipulate statistical numbers. However, if statistics are not presented properly or perhaps purposely misleading people, this book will help readers question or form their own opinions from data. Most people simply are not that interested when you hear the word statistics and many times people do not believe the numbers presented. This mistrust occurs most often for two reasons: the person not being able to see the raw data and where or how it was collected and the person not being able to verify the credibility of the information presented. Throughout the book, Huff discusses different statistical techniques that can be used improperly and how one can discern good statistics from those that may have been manipulated.
The first lab consisted of pulling a wooden block with a spring scale at a steady rate across four different surfaces. The surfaces were wax paper, paper towel, fine sandpaper, and coarse sandpaper. We had to pull the block across each of these surfaces to determine how much force we need to defeat friction. When I pulled the block over the wax paper, it moved with a small amount of force. Paper towel was also in the low range of force. However, with the fine and coarse sandpaper, much more force was required to move the block along. Therefore, the surface that had the lowest amount of friction was the wax paper, and the surface that had the largest amount of friction was the coarse sandpaper.
A bright sunny spring day, the bus lane in filled with a bunch of bright yellow buses.”Bye” I said to my friend as I walk onto the load noisy bus. Walking to my seat trying not to bump my violin into anything. I get to my seat near the back of the bus. I set down my violin first than my backpack leaving me barely any space to sit. I get up a bit from my seat to look through the window cause my violin case was in my way. After what seemed like forever I open my fairly new backpack to get my phone because of my lack of entertainment. One problem, my phone wasn’t there.
Statistics is something that comes up in everyday life a lot more often than some people might realize and being able to recognize statistical information as well as knowing how to use it properly can be extremely useful to you. You use it for small things, such as checking what the weather is supposed to be like throughout the week, but it can also be used for far more important situations like in medical circumstances where you are presented with chances of survival or sometimes determining the best course of action to take in order to ensure the safety of others. We all see things like graphs, scatterplots, and other similar types of presentations everywhere when shown any kind of information, from determining your chances of getting into
The Collier Encyclopedia’s definition for probability is the concern for events that are not certain and the reasonableness of one expectation over another. These expectations are usually based on some facts about past events or what is known as statistics. Collier describes statistics to be the science of the classification and manipulation of data in order to draw inferences. Inferences here can be read to mean expectations, leading to the conclusion that the two go hand in hand in accomplishing what mankind has tried to accomplish since the beginning of time – predicting the future. It is the notion of science that this is the most accurate way to predict events yet to occur and this has lead to it being the most widely accepted “fortune telling'; tool in the world today.
Statistics refers to the use of numerical information in everyday life to calculate facts and figures in limitless circumstances such as, batting averages, market share, and changes in the stock market. In addition, statistics refers to the scientific collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical data. Statistics involves describing data sets and drawing conclusions based on sampling about the data sets (McClave, Benson & Sincich, 2011). Statistics are divided into two areas: descriptive statistics and inferential statistics.
is based on a real school. As the data has been collected for me, it
Whether or not people notice the importance of statistics, people is using them in their everyday life. Statistics have been more and more important for different cohorts of people from a farmer to an academician and a politician. For example, Cambodian famers produce an average of three tons or rice per hectare, about eighty per cent of Cambodian population is a farmer, at least two million people support party A, and so on. According to the University of Melbourne, statistics are about to make conclusive estimates about the present or to predict the future (The University of Melbourne, 2009). Because of their significance, statistics are used for different purposes. Statistics are not always trustable, yet they depend on their reliable factors such as sample, data collection methods and sources of data. This essay will discuss how people can use statistics to present facts or to delude others. Then, it will discuss some of the criteria for a reliable statistic interpretation.