1015SCG Workshop Week 4

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Griffith University *

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2103

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Mathematics

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Jan 9, 2024

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1015SCG Quantitative Reasoning Week 4 Workshop 1. Find the value of c and the error if x = 2 ± 0.1 , y = 3 ± 0.05 . Make sure that the value and the error are properly rounded. a. c = 3 x b. c = x + y c. c = x y d. c = x y e. c = x y f. c = x 3 g. c = √ y h. [Harder] c = x 2 y 2. The following counts were made of distinct possum sightings in Toohey Forest, over a period before Powerful Owls were observed in the forest, and then over a period after . For each of the data sets calculate: a. the mean, b. the standard deviation, c. the standard error in the mean, d. discuss the result, can you say that the population of the possums was affected by the owls? Hint: Use Excel functions. Possum Sightings: Before Powerful Owls 52 38 62 66 44 41 46 After Powerful Owls 20 31 40 19 20 41 44 25 3. We will investigate whether a given coin is fair (i.e. has a 50% of landing Heads of Tails) a. Toss a coin 10 times, and record the number of Tails that land. b. Make up a table containing your results, and add results from other students in your workshop 1 . Hint: instead of tossing the coin you can use an Excel function =randbetween(0,1) Fraction of coin tosses landing Tails: My attempt Others’ attempts 1 2 3 4 5 6 7 8 9 10 /10 /10 /10 /10 /10 /10 /10 /10 /10 /10 c. From your table, calculate the average and standard error. d. Does the expected answer (50%) lie within your margin of error? 4. Calculations involving error propagation. a. The age of the universe is reported as 13.80 ± 0.02 billion years. What is the age of the universe (with error) in minutes? b. I have a solution of 2 ± 0.01 mmol/l of methanol. What is the concentration (with error) in g/l? c. If I add 2 ± 0.05 ml of methanol to 98 ± 0.1 ml of water, i. how much liquid in total (with error) do I have? 1 If you miss the workshop, then repeat the experiment as many times as your patience permits!
1015SCG Quantitative Reasoning ii. what is the concentration of methanol, with error (in ml/l)? 5. Reproduce the Australian Road Toll regression and correlation data obtained in class. a. Download the Australian road toll data available on Wikipedia b. Using Excel, produce a scatterplot of i. the number of fatalities over time vs year; ii. the number of fatalities per 100,000 population vs year, iii. the number of fatalities per 100,000 vehicles vs year, iv. the number of fatalities per billion vehicle-km driven over time vs year. c. Use Excel to produce correlation coefficients for the number of fatalities over time i. Over the entire range of data ii. Over the data up to 1970 iii. Over the data from 1970 onward d. Do similarly for the number of fatalities per 100,000 vehicles e. Calculate regression statistics for a line of best fit from 1970 onward for the total number of fatalities, and for the number of fatalities per 100,000 vehicles. i. What do the models predict for the fatalities in 2000? Is the data for 2000 within the margin for error? ii. What, if anything, can our model tell us about the Australian road toll in 2050? 6. The dataset in excel spreadsheet W4-trees.csv records the height of trees in Toohey Forest, and the number of seeds that have been found next to those trees. We want to investigate any relationship between tree size and the number of seeds found. a. First, produce a scatterplot of the data in Excel. b. Calculate the correlation coefficient between tree height and number of seeds found. How do you interpret this value? c. Now perform a regression analysis on the data set. What is the y-intercept and slope of the line of best fit? d. What number of seeds (with its error) does the model predict from a tree 1.6m high? From a tree 4m high?
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