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NMONFORTPART 1ALSO I would suggest finding the height difference f.docx
- 1. NMONFORT PART 1ALSO I would suggest finding the height difference for males and females.COLLECT DATA BASED ON THE RESEARCH PLAN, THEN:· CREATE A summary THAT should include:· The results of your data collection efforts. Did your collection tool work as you expected? What surprises or challenges did you encounter? Are there are sources of bias in your data? What might you do differently “next time”?· An initial analysis of your data IN RED. it should give the group an idea of what you have done, what you intend to do, and any questions or concerns you have about the analysis.· Specific questions or topics you would like feedback on.Research Plan Ask a Question: Do boys or girls have a larger growth spurt between the grades of two and six? Observational Unit: The boys and girls Variable: Heights at grades 2 and 6 Collect Appropriate Data: Since school is closed. I will be collecting data from students at our local Elementary and Middle School. The information is housed in the nurse’s office and is accessible through her. I will take the student information which is in alphabetical order and choose every third student until I gather heights for 20 girls and 20 boys. There are a total of 100 sixth graders in the school to choose from. Analyze the Data: My data will be organized by grade and by gender. I will use a double line plot for boys and a separate double line plot for girls. I will find the mean of each plot to determine who had the larger growth spurt over those two grades. Interpret the Results: My expectations are to find that at this level girls will have the larger growth spurt. I am basing this simply on past observations. Boys seem to have their growth spurt in Middle school. Possible biases may include convenience sampling since my data is only being taken from one school. I may also have a measurement bias since these
- 2. student’s heights were taken by hand and then copied onto a medical card. This information was then put into the computer. COMPARING GROWTH SPURT OF BOYS AND GIRLS BETWEEN TWO GRADESTABLE OF CONTENTS ABSTRUCT Chapter One 1.1 Background information…………………..................................................... 1.2 Statement of the problem........................................................................... 1.3Objectives of the study................................................................................ 1.4Significance of the study.............................................................................. Chapter Two: Review Of the Literature …………………………………………………….. Chapter Three: Research Methodology 3.1 Research Design and data collection.............................................................. ABSTRACT In the study, the design applied to get the data will be simple random sampling without replacement. The data will be analyzed and conclusions made by comparison of the students total heights in their genders at the two different grades. Introduction 1.1 Background The previous research on this topic have reported the general growth but failed to count on the ages between these two grades. The applications of the previous research reports have shown reliance and believe in the general growth pattern of growth in young school going children though they have not specified on these two ages to explain whether it’s a just a believe that girls grow faster between these grades or its true from practical research findings. 1.2 Statement of the problem
- 3. Do boys or girls have a larger growth spurt between the grades of two and six? 1.3 Objectives of the study The aim of this study is to come up with a more advised argument that will support the rate of spurt in girls to be higher between these ages than that of boys. 1.4 Significance of the study The study explains the growth spurts between the two genders and within the specified age-set. Literature review The growth patterns in boys and girls take different shapes at different ages. From previous observations girls between the specified grades two and six appear to have a higher spurt compared to that of the boys. The boys appear to have their growth spurt during their middle levels in school. Research Methodology 3.1 Design of the research and data collection techniques To ensure the collection of high-quality data, the data will be obtained from the identified population to get reliable and make conclusions. There will be a proper way of designing the sampling strategy used to ensure that potential boys and girls are picked who will be drawn from a representative sample of the intended population. The samples will be obtained in a scientifically rigorous manner to ensure the findings will be generalizable to the intended population. The analysis of the data will not be homogenously because the selected survey compares two different grades and in different genders significantly. Growth at each grade will be analyzed as an independent sample. In terms of execution of the study, since the population is already identified, the implementation of the study will begin by designing the samples. Data collection tools will be designed, and completeness of data collected will be ensured by getting the data and start of analysis.
- 4. Strata sample will be based on the formula ni = Nin/N where n1 is the stratum sample,N1 is the student population in each grade of study (stratum size),n is total sample (n=n1+n2) and N is the total student population. The assumption is that the number of girls and boys in each grade is the same and that they are arranged alphabetically in their medical register without considering any other factor. It is also assumed that in grade two the total number of students is also 100. Ni Strata size ni Sample strata size N1 100 n1 20 N2 100 n2 20 N 200 n 40 PART 2 PLEASE REPLY TO SECTION A AND SECTION B USING THE QUESTIONS BELOW
- 5. · Is the analysis appropriate for the kind of data? · Are different approaches used to analyze the data? · Are there approaches that they have not tried, that you think they should consider? · Is the work accurate? Can they apply our work this week with correlation and best fit lines? · Can you help them with their questions? ANSWER THE ABOVE QUESTIONS BASED ON THE DETAILS BELOW A. SECTION A. Comparative research progress report The problem under study was "Comparative Study investigating a relationship between Gender and performance in mathematics courses at a community college in St Lucia.? The main Objective of the study was to investigate students’ performance to determine which gender performs better in mathematics courses. Null hypothesis: there is not a significant difference in the performance of boys and girls. Alternative hypothesis one: Males perform better in higher mathematics courses than females The sample comprised of total 90 students. The 45 boys and 45 Girls schools (were selected on random basis for the purpose of research. ( 15 boys and 15 girls for each of the three courses) The Student confidential results were used as a tool for the purpose of data collection. The achievement of the students was seen from their respective results. The Mean, S.D. and Variance and the difference between mean the t-statistic was used for analysis of data. Steps for testing hypotheses 1. Calculate descriptive statistics 2. Calculate an inferential statistic 3. Find its probability (p value) 4. Based on p value, accept or reject the null hypothesis (H0) 5. Draw conclusion I had some difficulty getting my data on time. I had to request permission from the principal of my learning institution and
- 6. then the Registrar in charge of student records had to compile the data and then make it available to me. This took longer than I anticipated; in fact I only receive my data last Friday. As I look through the data, I realized that there were some biases; sampling bias: this included taking a sample from only three mathematics courses. I am still trying to decide how to analyze results. Should I analyze in terms of years and look for trends in performance for different years or just generally look at the overall trend ignoring the years? Please find attached a sample of my graphs. B. SECTION B. I was able to find all of the data for my project through Peterson's College Guide (www.petersons.com). I had a list of colleges broken down by type (public, community, and private). I randomly selected two colleges from each type and got the demographics for them. The one challenge that I did not account for is location. I think my results would be a bit more accurate if the colleges were in the same city. Location may be a lurking variable. I might choose one for each from Boston and try the test again. To account for this, I took the average of the two colleges for each type to get the data that I used to compare. I am not sure if that is an appropriate way to get data. I have started to make charts to compare my data. I am going to put everything below: C. Public Schools
- 8. 806.41 Hispanic(of both) 8.32% 1059.469 Hispanic(of both) 0.0966 932.9394 Asian 3% 219.93 Asian 7.95% 1012.353 Asian 0.05475 616.1415 American Indian/Native Alaskan 3% 219.93 American Indian/Native Alaskan 0.15% 19.101 American Indian/Native Alaskan 0.01575 119.5155 Other 5% 366.55 Other
- 10. Berkshire Community College Undergrad 2400 Northern Essex Community College Undergrad 7352 Average White 79.75% 1914 White 53.67% 3945.818 White 0.6671 2929.909 Black 6.54% 156.96 Black 4.08% 299.9616 Black 0.0531 228.4608
- 11. Hispanic(of both) 6.29% 150.96 Hispanic(of both) 35.41% 2603.343 Hispanic(of both) 0.2085 1377.152 Asian 1.75% 42 Asian 1.43% 105.1336 Asian 0.0159 73.5668 American Indian/Native Alaskan 0.33% 7.92 American Indian/Native Alaskan 0.15% 11.028 American Indian/Native Alaskan 0.0024 9.474 Other 4.96% 119.04
- 13. Wheelock College Undergrad 880 Western New England College Undergrad 2667 Average White 54.89% 483.032 White 76.94% 2051.99 White 0.65915 1267.511 Black 10.80% 95.04 Black 4.72% 125.8824 Black
- 14. 0.0776 110.4612 Hispanic(of both) 11.25% 99 Hispanic(of both) 7.54% 201.0918 Hispanic(of both) 0.09395 150.0459 Asian 2.73% 24.024 Asian 2.77% 73.8759 Asian 0.0275 48.94995 American Indian/Native Alaskan 0.23% 2.024 American Indian/Native Alaskan 0.04% 1.0668 American Indian/Native Alaskan 0.00135 1.5454 Other