Interquartile range

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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 from the data. Further we were to create a hand drawn histogram and a box and whisker plot. Finding all of these is helping us come to a conclusion as to whether the responses to the survey question is normally distributed or not and if

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displaying the 5 number summary for each season of Modern Family. Season 1 has the smallest range with the episode ratings ranging from 7.8 to 8.8 stars out of 10. Season 6 has the highest range of Episode Ratings due to the outlier of 9.5 stars out of 10, the range is 7.4 to 9.5 stars out of 10. Season 3 has the smallest interquartile range, 0.3 and Season 5 and 6 have the largest interquartile range, 4.75. Season 1-6 have 24 episodes, season 7 has 22 episodes and season 8 has 2 episodes as of

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Height and weight is continuous data so only some graphs and calculations can be done. I have decided to select a sample size of 100 students because 1183 students are too many. I won’t be able to compare the data well since I will have such a wide range of results. I also won’t be able to fit all the information on one graph or one box-plot making the comparison even more difficult. I will be able to cope with 100 students’ heights and weights better. In order to get a sample of 100 students

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Question 2 Part (a) Table 1; Data Summary ∑f=80 Calculations The sample arithmetic mean x ̅=( ∑▒〖(MI)×f〗)/(∑▒f) =1535/80=19.19 The median x ̅ =〖 L〗_(1 )+( (N/2-∑▒〖fmed )×c〗)/fmed =15+((40-27))/((22))×5 = 15 + 2.95 = 17.95 〖 L〗_(1 )=Lower class limit of the median N=Total Frequency ∑▒█(fmed )=Sum of the frequencies of classes below the median class@) fmed =Frequency of the median class c=Width of the median class The mode (X ) ̂=〖 L〗_(1 )+ (f_(0-f_1 )/(2 f_0-f_(1

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Contents Task 1 2 Mean – 2 Median – 2 Mode – 2 Range – 3 Interquartile Range – 3 Standard Deviation – 4 Five Number Summary – 4 Graphing data 5 Box-plots 5 Histograms – 6 Task 2 7   Task 1 (K2) The issue I will be investigating within this report involves the number the level of licence held by drivers and how this influences the overall number of fatalities within Queensland. This issue is paramount due to it intertwines with the health and safety of Queensland motorists. I will display the key

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864.00 | Maximum | \$5,678.00 | Range | \$3,814.00 |   |   | 1st quartile | \$3,130.50 | Median | \$4,090.00 | 3rd quartile | \$4,732.75 | Interquartile range | \$1,602.25 | Mode | \$3,890.00 | Sample Size | 50 | Mean | \$3,964.06 | Sample Standard Deviation | \$924.11 | Minimum | \$1,864.00 | Maximum | \$5,678.00 | Range | \$3,814.00 |   |   | 1st quartile | \$3,130.50 | Median | \$4,090.00 | 3rd quartile | \$4,732.75 | Interquartile range | \$1,602.25 | Mode | \$3,890.00

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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 survey question was ‘How many times have you flown on an airplane?’. This includes down, to the place that you are going, and back home. So in most cases the number of

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Statistics Coursework Introduction ============ The data that we are going to use is secondary data that has been collected from a high school. It is made up of a collection of qualitative and quantitative variables . This also includes both discrete and continuous data. The data is in the form of a spreadsheet, making it easy to identify the required information for the investigation. I am using this secondary data as it would be easier than collecting

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Reading is done by a good majority of everyone, most every day. How many words does a person read in one day? That answer differs person to person. One could be a publisher, book critic, reading for a living; or one could be a plumber or carpenter and still do some instructional reading, but much less than the aforementioned occupations. Reading is an essential skill in our daily lives. Blind individuals have Braille script to read, and there also are those that also have technology able read aloud

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Data Analysis In my experiment I used four different types of flour to see how much they made bread rise. These are the results: Type of Flour Amount of Dough in Pan (cm) How much Bread Rises (cm) Whole Wheat Flour 1.5 3.4 3.5 3.7 Rye Flour 1.5 2.3 2.3 2.4 All Purpose Flour 1.5 5.4 5.6 5.6 Tapioca Flour 1.5 6.5 6.4 6.5 The results showed that the tapioca flour made

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