Statistics - Student Works

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    Measuring the activity of Saccharomyces cerevisiae in relation to home-based additives by measured net weight loss
    (2022) Mainwaring, Shaun
    This research study is to measure the activity of saccharomyces cerevisiae through selected additives which have been added in the hydration step of making bread dough. The saccharomyces cerevisiae is sensitive to sugars (Mazzoleni, S. et al.2015) and by using multiple possible additives that can be found at home, we can compare which ones give a healthier yeast and therefore a better rise to the dough. As the saccharomyces cerevisiae ferments, it consumes the sugars naturally in the dough and creates an acidic environment to maintain its growth and produces CO2 as a product of this reaction, which is the cause for the rising dough. This can be tracked by how active the yeast is to its mean weight loss by measuring the weight loss of the three separate batches and comparing the results through a Multiple Comparisons of Means: Tukey Contrasts test to see if the significance to what is added to what was added to help the fermentation process of the yeast. We can see that easily soluble sugars are the best choices for promoting the health of the saccharomyces cerevisiae in by the test with F(9,20)=14.49, p<0.0001.
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    Measuring the activity of Saccharomyces cerevisiae in relation to home-based additives by measured net weight loss
    (2022) Mainwaring, Shaun; Buro, Karen
    This research study is to measure the activity of saccharomyces cerevisiae through selected additives which have been added in the hydration step of making bread dough. The saccharomyces cerevisiae is sensitive to sugars (Mazzoleni, S. et al.2015) and by using multiple possible additives that can be found at home, we can compare which ones give a healthier yeast and therefore a better rise to the dough. As the saccharomyces cerevisiae ferments, it consumes the sugars naturally in the dough and creates an acidic environment to maintain its growth and produces CO2 as a product of this reaction, which is the cause for the rising dough. This can be tracked by how active the yeast is to its mean weight loss by measuring the weight loss of the three separate batches and comparing the results through a Multiple Comparisons of Means: Tukey Contrasts test to see if the significance to what is added to what was added to help the fermentation process of the yeast. We can see that easily soluble sugars are the best choices for promoting the health of the saccharomyces cerevisiae in by the test withF(9,20)=14.49, p<0.0001.
  • Item
    Measuring the activity of Saccharomyces cerevisiae in relation to home-based additives by measured net weight loss
    (2022) Mainwaring, Shaun; Buro, Karen
    This research study is to measure the activity of saccharomyces cerevisiae through selected additives which have been added in the hydration step of making bread dough. The saccharomyces cerevisiae is sensitive to sugars (Mazzoleni, S. et al.2015) and by using multiple possible additives that can be found at home, we can compare which ones give a healthier yeast and therefore a better rise to the dough. As the saccharomyces cerevisiae ferments, it consumes the sugars naturally in the dough and creates an acidic environment to maintain its growth and produces CO2 as a product of this reaction, which is the cause for the rising dough. This can be tracked by how active the yeast is to its mean weight loss by measuring the weight loss of the three separate batches and comparing the results through a Multiple Comparisons of Means: Tukey Contrasts test to see if the significance to what is added to what was added to help the fermentation process of the yeast. We can see that easily soluble sugars are the best choices for promoting the health of the saccharomyces cerevisiae in by the test withF(9,20)=14.49, p<0.0001.
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    Kawhi Leonard’s impact on the Toronto Raptors’ 2019 playoff run as a Markov chain
    (2020) Lupul, Nicholas
    In the summer of 2018, the Toronto Raptors engineered a trade that would forever change the history of their franchise. The blockbuster trade saw NBA superstar Kawhi Leonard in a Raptors uniform in exchange for then franchise cornerstone DeMar Derozan. The trade was heavily criticized with fans and analysts alike claiming the organization gave up its future for a small chance at a championship. The Raptors went on to win the championship with Kawhi as their centerpiece. By studying their performance in the playoffs as two separate Markov chains, when Kawhi was playing and when he was resting, his contribution can be analyzed. It was assumed that his presence would account for more defensive stops and a more efficient offense. Upon analyzing the collected data, it was seen that his presence accounts for more points per game and offensive rebounds per game and a decreased number of defensive stops. In the future this type of analysis can be applied to data from any team at any level where relevant statistics are tracked. By analyzing one player’s impact on games, organizations will have a better idea of which players to trade away or trade for as well as how to distribute minutes.
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    Lennon v. McCartney
    (2020) Kroetch, Kimberly
    In this analysis, the chord progressions used in songs by the Beatles are modelled as Markov chains to identify potential differences between songs for which John Lennon had more influence and those for which Paul McCartney had more influence. A preliminary comparison of random samples of songs from each artist did not identify noteworthy differences between Lennon and McCartney; most pieces resulted in regular Markov chains. This analysis then focusses on two songs from the Beatles – “Norwegian Wood”, primarily written by John Lennon, and “Good Day Sunshine”, primarily written by Paul McCartney – which deviated from this pattern. Similar patterns were found between the two songs despite major differences in the chords that made up each state space. In general, however, McCartney’s song had more variety in terms of the number of chords used and the paths taken between tonic chords.