The Box and Whisker Diagram for the Blonde Females IQ has a larger Lower Quartile, a smaller Median area, and a larger Upper Quartile than the Brunette Females IQ. The spacing of the sections in these diagrams shows to me that due to the Blonde Females having a smaller Lower Quartile IQ space there are less people in this section than in the Brunette Females section. As the Upper Quartile is larger for the Blondes than the Brunettes this agrees with the fact that
Investigating the Relationship Between the Length and Width of a Leaf Aim: To investigate if there is a relationship between the length and width of the leaves. I will also investigate summary measures to represent my data. Data Collection: I choose to collect my leaves from a tree in my back garden, as it was easy to access. I picked the leaves from different places and different heights around the tree so that my sample of leaves would be random. I choose
Analysis of Data Between Height and Weight in Girls and Boys In my first investigation, I will be analysing data between height and weight in girls and boys. I will also use this data to compare the results between boys and girls as well. I will use a variety of graphs to show this. PREDICTIONS I predict that as the heights increase, so will
Investigating the Relationship Between Foot Size and Height I predict that the taller the pupil is, the bigger their foot size will be. Plan ==== I’ve been given 60 pieces of data from pupils, about their height and foot size. I will be using a piece of software called Fathom where I will place this information into a scatter graph, to see whether or not my hypothesis is correct. Fathom will produce a line of best fit on my graph and tell me what my r-value is. The r-value shows
grouped frequency table. I will then use this table to find the mean, mode, median of the results of the heights and weights of these males and females. I will then construct a cumulative frequency graph to find and locate the median, lower quartile and upper quartile. This will then be used to draw a box plot for the heights and weights of male and females. This data will be used to help me to conclude my first hypothesis. To test hypothesis two i.e. girls in y... ... middle of paper ... ... that
value is between the two highest values for year eight and nine. As I mentioned earlier the values in the year eleven boxplot are larger. The LQ is about the same as all the other medians, the median is higher than most of the other upper quartiles and the UQ is larger than all the others. The highest value is 125, this is the higher than all the others by at least 4. Evaluation Generally, my coursework went quite easily. I didn’t encounter any problems apart from entering data in
Relationship between Height and Weight I am using the data from Mayfield high school as I am unable to use data from Nabwood School. This is because although the school has a database system, information regarding height and weight of year 10 and 11 students will not be accurate as it was taken when students came to the school in year 7, which was three or four years ago (if they are now in years 10 and 11). Therefore to try and update the database with the latest height and weight of year
A Comparison of Newspaper Articles Introduction I have chosen the "Read All About It" option for my Maths Coursework. This involves comparing articles from newspapers and comparing them. I have chosen to use two newspapers for my investigation. I have chosen to compare articles from a Tabloid and a Broadsheet newspapers. The papers I have chosen are "The Mirror" and "The Guardian". I am predicting that the articles in the broadsheet newspapers would be more complex and often longer
Investigating the Factors that Affect the Price of a Second Hand Car Introduction I am going to test which factors affect the price of a second hand car using a variety of different statistical techniques. From what I discover using these techniques I will conclude which factors are the most important. I will examine only cars within the reach of a normal family, i.e. not luxury cars. I will also exclude classic cars as these are unlikely to perform like normal second hand cars.
Statistics Investigation Introduction I was given some data for 60 pupils in the school, with their height, foot length and gender. Firstly, I decided to compare this data by putting this data onto a graph and see if there is a correlation between height and foot length. I think that taller people will have bigger feet, which will be my hypotheses. Hypotheses My hypothesis is that taller people have bigger feet. Aim To find out if there is a correlation between height and
Summary: The aim of this report is to analyse the river flow data from the River Severn in 2000 and 2001. The data readings will be taken from the Bewdley station 54001 over the 10 months of each year. The data will be analysed in graphical and statistical format in order to view trends and relationships easier. The results will be displayed as data i.e. either table format of raw data, from this graphs will be constructed to illustrate the various types of data and the way it will be displayed
Socioeconomic Disadvantage: The Australian Context Curriculum experiences at school have the potential to disafvantage children, in particular, those from disadvantaged backgrounds (Ewing, 2013. p. 73). John Graham (2012) explains in his editorial titled 'The Reproduction of Disadvantage ' that: "One important measure of the equity of a schooling systemis the impact of socioeconomic status background factorson student outcomes" (p. 5). Data from the Oragnisation for Economic Co-operation and Development
know when I start to become a little defensive. On the self-management questionnaire I scored a total of 15. This puts me at the top quartile which is the best. I know myself causing me to step away from an issue and come back later to resolve it. I analyze a lot of issues; I easily motivate myself to become the bigger person
Newspaper Comparisons Introduction For this statistical coursework I will compare the length of words in tabloid and broadsheet newspapers. My sources are 'The Sun' (a tabloid) and 'The Times' (a broadsheet). Predictions / Hypotheses * Broadsheets, on average, use long words, while tabloid newspapers generally contain shorter words than broadsheets. * Tabloids have a wider variation in the number of letters per word than broadsheets * The most common (modal) number of
A Comparison of Broadsheet Newspapers with Tabloid Newspapers Investigation 1 Hypothesis 1 "Broadsheet newspapers have a longer average word length than tabloid newspapers" My theory is that broadsheet newspapers use a more complex style of language. In effect I think this will result in a longer average word length in a broadsheet than in a tabloid newspaper. Both newspapers will have a large amount of short word included in the articles, however, this can not be avoided due
Employee Engagement: A Priority for Organisations: As companies recover from the economic recession of recent years, there has been a shift toward investing for growth and away from cost reduction. Given this renewed emphasis on growth and investment, which factors do business leaders view as most critical to success? A survey by Harvard shows that people-oriented “soft” factors dominate this list with 71% emphasis of employee engagement. Why the emphasis on employee engagement? Employee engagement
White 58.6 (20015) Black/ African American 20.2 (6899) Asian 2.8 (956) Native Hawaiian/ Pacific Islander 0.5 (161) American Indian/ Alaska Native 0.4 (135) Median Household Income Quartile 1 (below $32,793) 32.7 (11157) Quartile 2 ($32,794-$40,626) 22.1 (7556) Quartile 3 ($40,627-$52,387) 20.1 (7556) Quartile 4 ($52,388 or more) 20.6 (7031) Type of insurance coverage Medicare 18.0 (6160) Medicaid 27.4 (9349) Private insurance 39.2
histograms were created, we took a look at the descriptive statistics for each of our histograms and summarily grouped the 5 sets of data in a table. The descriptive statistics we chose to include were; the mean, median, maximum, minimum, upper quartile, lower quartile, 95% confidence intervals, and sample size. The histograms and statistics were calculated and created, respectively, in JMP. We then entered the number of noun and verb lines that started with vowels and consonants in JMP. From this spreadsheet
The Relationship in Height and Weight of Students INTRODUCTION In this investigation, I intend to find out whether there is a relationship in height and weight in students, and how this relationship changes between girls and boys, with age. I have chosen to investigate the relationship between the height and the weight as I think that the height and the weight are the only two categories that will give a clear correlation. If I was to investigate the relationship of two other categories
wonderful views of the gulf. 5-Number Summary, Mean, Mode, Range, and Standard Deviation 40 Golf View Condominiums List Price Sale Price Days to Sell Five-Number Summary Smallest value 200.00 189.00 22.00 First quartile (Q1) 467.00 452.90 70.00 Median (Q2) 639.00 604.20 137.50 Third quartile (Q3) 843.00 801.40 225.50 Largest value 962.00 935.10 298.00 Mean 629.00 606.59 146.65 Mode 639.00 NA 249 Range 762.00 746.10 276.00 Standard Deviation 227.05 221.34 87.35 IQR Rule for Outliers New Low End