Sampling is the framework on which any form of research is carried out. A suitable sample that meets the inclusion and exclusion criteria of a research design must be chosen from a given population to carry out studies. In this essay comparison is made between stratified random sampling and convenience sampling. The population on which the researcher is interested in carrying out his or her research may be too large, therefore a suitable sample which can represent the population in correct proportion
Statistics Project 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 ========= 1.Formulate my hypothesis [IMAGE][IMAGE][IMAGE][IMAGE][IMAGE][IMAGE] 8. Ideas for further investigation
Creating a Music Questionnaire The Task: · My task is to research into the music industry and then create a questionnaire to find out what type of music people listen to. I will then need to record the results and create some sort of interpretations of the data to see if the results match my hypothesis. Hypothesis: 1. Most People in year 11 listen to drum and bass. 2. Year 11 spend more money on music than year 7. 3. New Metal/ Grunge music is the most unpopular genre of music
there are several types of sampling that can be used to make inferences about the population you sample from. Simple Random Sample When the population is homogeneous, (e.g., all business executives from large accounting firms) a simple random sample is adequate. This means that during the selection process, each element of the population has an equal chance of being chosen. It is analogous to pulling names or numbers out of a hat. Systematic Sampling Another option is to select
According to the American Market Research Association, market research is … “the systematic gathering, recording, and analysis of data about problems relating to the marketing of goods and services”. There are number of key words that are identified in the above definition. They are: * Systematic- this means using an organised and clear system * Gathering- this means knowing what you are looking for (e.g. target audience) and collecting appropriate information * Recording- this means
Evaluation Plan Background The program evaluation will be assessing the outcomes resulting from offenders that were placed into the HOPE program versus those that were not. As mentioned in previous assignments, the HOPE program is a rigorous probation sentence which entails submitting to random drug testing, mandatory appointments with law enforcement personnel, and the completion of counseling or drug treatment sessions while not repeating previous violations. Violations of the probation program
Comparing Data As a piece of Statistics coursework, I have decided to compare two items of data, in order to prove, or disprove my theory: "A country's position in the Commonwealth games varies accordingly to that country's population size." My theory is that a country's position in something such as the Olympics or Commonwealth Games is proportional to that country's population size. I say this because I believe that if a country has a large population, there will be more potential
One way these businesses seek to do this, is the collection of quantitative data and various sampling methods as a way to help find intuitive ways to solve the problems they have, or to make what they better. There are several ways to collect meaningful data, using both descriptive and inferential statistical methods. For example, in a business setting
week: the two kinds of sampling methods and their subtypes, and correlational research design method. The first type of sampling method is random sampling. This sampling method is used when a researcher wants his/her sample to be as random as possible in order to represent his/her target population and to draw an accurate conclusion on his/her findings. There are three subtypes of the random sampling method: simple, stratified, and cluster random sampling. The simple random sampling method is when everyone
• Define descriptive and inference statistic. What is/are the differences? Descriptive statistics refers to the collection, presentation, description, analysis and interpretation of a collection of data, essentially is to summarize these with one or two pieces of information (descriptive measures) that characterize all of them. The descriptive statistics is the method of obtaining a data set conclusions about themselves and do not exceed the knowledge provided by them. It can also be used to summarize
There are many sampling methods and each of sampling method has its advantages. Researchers need to select well of the sampling method to improve the data quality and overall results quality. There are a pool of sampling methods to choose from including simple random sampling, stratified sampling, systematic sampling and cluster sampling (Oulte, 2011). Each sampling method can be applicable at different situations and times. For simple random sampling, it is more suitable applying for when the whole
This chapter looks at descriptive research which involves identifying the characteristics of a phenomenon that is being observed. This type of research does not tamper with the state of the situation under investigation. This chapter describes observation studies, correlation research, development design and survey research which give information that can be summarized through statistical analyses. In observation study the following strategies should be used: Defining the behavior being studied carefully
average, taller than year 9 students. 2. There is better correlation between height and weight in year 7 than there is in year 11. 3. The taller someone is the heavier they are. Below are the sampling methods that I have used in my coursework: Stratified Simple Random Stratified sampling can be defined as the process where the population is divided into a number of sub-groups, e.g. males aged 45-65. These subgroups are called strata, and the numbers sampled in the various strata
Ques-1 Interview: Interview is one of the most important part of fact finding studies, because we have to select a right person for the right post. For selecting a right person we have to design the right steps for interview. The steps for interview are as follows: 1. Identify the person to Interview in a informal way. 2. Determine the objectives, facts and general areas to be discussed for the interview. 3. Define the list of questions for interview using different interview types for example open-ended
escribe the sampling strategy. How appropriate were the various sampling design decision? NCR Country club is in desperate need of obtaining new members to support their renovations and to add new amenities of their facility. The country club hired McMahon Group to conduct a survey to gain insight the population interest in their club. McMahon created a survey to explore the possibility of adding additional facilities such as a swim and fitness area to attract younger adults and families with children
Statistical Investigation Introduction I have chosen to do this statistical coursework that uses data from 'Mayfield High School.' Although this is a fictitious school, the data is based on a real school. As the data has been collected for me, it is called secondary data. I believe that this coursework will allow me to illustrate my ability to handle data, use specific techniques and apply higher level statistical maths by being able to use a variety of methods in order to analyse
football players who are linebackers that play for the majority of the game and take a lot of hits, and compare them to punters or kickers who are only in the game for a few seconds and hardly come in contact with other players. 12. Sampling bias (pg. 112) – a sampling method can be called biased if the results of the research found favors the outcome the researcher is looking for. The researcher ultimately controls/influences whether the results are biased and potentially misleading. If a researcher
Sample, sampling and sample size In statistics population is a set of similar items or events which is of interest for some experiment. Statistical population can be a group of people, objects or even events that have a common characteristics.Collecting data on the whole population is impossible because it is too large or too geographically dispersed thats why we then choose a sub group which is called a sample. A sample is a subset of the population chosen for a survey or
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
The sampling design process includes five steps which are closely related and are important to all aspect of the marketing research project. The five steps are: defining the target population; determining the sample frame; selecting a sampling technique; determining the sample size; and executing the sampling process. 1. Defining the Target Population: The target population is the population that the reasearcher thinks has the information he or she needs to carry out the research project. 2. Determining