Statistics Coursework Essay

In terms of choosing my sampling method, I chose quota sampling. This is because we chose to survey 30 people in total but divide the group into genders; males and females. Therefore; 15 males and 15 females were surveyed. This was an important sampling method to choose because it was quite accurate. It was less biased as we decided to interview both genders, leading to varied results for our market research team. We also chose to have quota sampling, because it was the most efficient sampling method which gave us the most accurate information we set out to find. I feel it was important to have more than one division; that being males and females. This is purely because males and females have much diverse views and opinions and also priorities such as; males being more interested in booking rooms and assessing the online services, where the females would also enjoy the online services, but would show more interest in the facilities available, therefore it was quite key to find out how each gender progressed through the surveys. I feel that quota sampling is much more accurate than other sampling methods such as random sampling. This is because random sampling will leave the researchers with a range of results, which will be harder to compare or formulate decisions

The given information is related to 30 major League Baseball teams for the 2012 season. Here, the sample size is large (n 230) but the population standard deviation (a) is unknown. So, apply one sample t confidence intervals. Find the 95% confidence interval for the mean number of home runs per team. Using MINITAB, following are the steps to obtain the 95% confidence intervals for the population mean. 1) Import the data into one column named as RUNS, 2) Choose Stat Basic Statistics 21-Sample t... 3) Select the Samples in columns option button, 4) Click in the Samples in columns text box and specify RUNS. 5) Click the Options...button, 6) Enter 95% in the confidence level text box. 7) Click the arrow button at the right of the Alternative drop-down list box and select not equal, 8) Click OK twice. output: One-Sample T Runs Variable 30 164.47 32.97 Mean StDev SE Mean 955 CI Runs 6.02 (152.15, 176.78) From the above output, the 95% confidence interval for the mean number of home runs per team is lies between 152.15 and 176.78

My subjects will be chosen from the period 6 study hall at Northern Lebanon High school. To ensure that my sample was random, I will chose a study hall, which has a variety of people and different age ranges. The sample size will be 20 high school students. This will allow me to hand one out

Purpose of this Project,to find out the releationship between population and the square of countries is tried to be understood.

I chose a sample size of 33 from each group because it was small enough to manage and process the information in the allocated time, but big enough to give a fair indication of what is happening within the population. It will also ensure that each member of the population has an equally likely

Once I have my stratified sample of each year group, I will use random sampling to choose which of the students I will take my data from. This is a fair way of sampling due to the fact that there will be no biased decision as to who is picked for their data.

To collect a large sample I used volunteer sampling from within Newcastle Sixth Form College. Participant forms were handed out to every tutorial class (equivalent to registration) within the college to make sure that every student is presented with the opportunity to take part in the study. This allowed me to have a population of over 500 students to sample from. Once the volunteers had submitted their interest, I planned to then try to make the sample more representative of the national population. However, this was unfortunately not possible for two reasons. The first is that the sample would consist almost entirely of students aged between 15 and 20. Secondly, the final sample size was too small to try and make it

The sample will consist of a total of 100 male and 100 female residents from Bakersfield, who are aged between 18-65. It will be selected by using the stratified sample technique, which will involve dividing residents into groups based on their gender and then using those groups to conduct our sampling. This will ensure that we are able to obtain an even sample of male and females and allow for determination of any difference between the two groups.

Stratified Random Sampling is similar to Simple Random Sampling in that it is also a probability sampling technique. However, there exists a major difference in that, with Stratified random sampling, the researcher divides the population into different groups called strata. He then selects individual elements from each stratum at random. The same probability of being selected applies for each of the elements in the population. As such, stratified sampling requires that the strata should not overlap in order to avoid some elements in the population having a higher chance of being selected than others. The most common used strata include; age, socioeconomic status, religion and nationality.

In this assignment I compiled the data of the Nissan GT-R 3.8 (R35). The Data collected includes the age, type and price which allowed me to make a statistic about how the age affects the price of this certain model over several years. I will be using the correlation regression and scatter diagram to get the regression line. As we can see, the price drops the elder the car is. Inside the range of the diagram the prediction might be accurate. So we can tell very precisely how much the car is going to cost in the next few years, but we won’t be able to give a very precise prediction on how much the car is going to cost after a long term (more than 10 years). This project shows the readers to justify

For my coursework I will need to collect data to do with the reading time of males and females, I will also collect some data which will be about how age affects reading time of a person. As I am researching gender and age I will be using stratified sampling of 80 people. I would do this because it a suitable and large enough number and would give me reliable set of results. I will sort the data into age groups according to gender. So there will be two groups, which are males and females. Grouping will make my sample make look more professional and organised, in the future it would not give me any problems as the likelihood for making any mistakes during calculations will decrease dramatically. I will take the data from the youngest age to the oldest age, as ordering the age would not affect stratified sampling. A stratified sample is a sample with

For our fall final this year we were assigned a task to collect 100 pieces of data for a survey question of our choice. With that survey question we had to survey 100 students from the same population. After collecting that data we had to input it all into a spreadsheet to find the frequencies for each answer. With those frequencies we then found the mean, median, mode, range, quartile 1, quartile 2, quartile 3, the interquartile range, maximum, minimum, outliers, standard deviation, and a z-score. We also had to create a hand drawn histogram and box and whisker plot.

My population size is children aged eleven to sixteen residing in the United Kingdom and the Republic of Ireland. I have employed a sample size of thirty male and thirty female students aged eleven to sixteen; I had chosen this sample size because I had identified a calculation which would be perfect on helping to have a range of participants and therefore I could have a good medium sized sample, my research indicated that the average pupils enrolled at a secondary school is roughly three point six million pupils, so if I divide it by six thousand, then that would equal sixty and later on I can multiply it by six thousand and represent my data on behalf of all pupils in the United Kingdom and the Republic of Ireland and thus allowing my data to be more reliable and a better representation of eleven to sixteen residing in the United Kingdom and the Republic of Ireland.

The 60 respondents will be divided into two to differentiate them depending on their gender or sex to have a more reliable data for the said study. The questionnaire that will be given is in multiple-choice format, checklist format and scale type which is in structured type as it best fits the type of research the researcher is studying on. No particular qualifications or instructions were given in the selection of students to answer the questions except the randomness of the sampling and gender should be observed.

For my project I carried out survey to gather primary data. The survey is a combination of stratified random sample and cluster sample. This is because there are readers and viewers of news of all ages in this country, so random sampling would be convenient for this purpose and cluster sampling would help me to gather information from different professions top get a diversified idea about the population. This survey has been carried in all parts of the city as it may not be viable to go outside the city due to time constraint. For data analysis, I have used tools like graphical presentation, frequency, percentage, cross tabs, t-test, z-test, chi-square analysis, ANOVA, regression, etc. The size of the survey questionnaire consists of 19 questions. I believe that the questionnaire contains sufficient number of questions to get me enough information to do my research. I have conducted survey on 120 populations.