current thinking favors the growth mindset I am unsure that I applied this in my classroom. When I think back on my classroom this year I am not confident I was fostering a growth mindset. After reading‚ “The Secret to raising smart kids‚” “Even geniuses work hard‚” and “Academic Tenacity” I have a better idea of how to support a growth mindset within my classroom. In this reflection I am going to start by talking about my current mindset and how that applied to my classroom this year. Then I will
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Newton Jeanette Winterson’s Newton describes the isolation of her “stranger”‚ Tom. In Newton‚ Winterson uses imagery to show Tom’s differences in contrast to those of his neighbors. Tom’s conflict lies between his neighbor and he due to the way he doesn’t fit in. Winterson adds in Albert Camus L’Étranger in which Camus’ character‚ Meursault‚ finds himself a stranger in his own society. Winterson begins her story with an almost nursery rhyme like poem; “This is the story of Tom. This is
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genius for accomplishments comparable to those of other writers thought to be geniuses and characteristics unique to his writing style. Firchow argues against Lionel Trilling’s (“one of the most influential critics of the century”) explicit claim that Orwell is not a genius with insight into his lifestyle‚ his unique viewpoint‚ and even his limitations that set him apart from other writers that Trilling labels as geniuses. (77) The first point Firchow makes in defending George Orwell’s intellect
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Exam 1 Chapter 1 * In statistics the group we wish to study is called the population * A sample is a subset of the population which is used to gain insight about the population. Samples are used to represent a larger group‚ the population. * • Descriptive statistics – the collection‚ organization‚ analysis‚ and presentation of data. * Inferential statistics – uses descriptive statistics to estimate population parameters; an educated guess about the population based on sample
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that some outlier may exist‚ because the median is less sensitive to outliers than the average. For the 2 yield values‚ there is much less variability in the data‚ because the standard deviation is a small percentage of the mean‚ and the data seems to be more centered‚ as mean‚ mode and median have similar values. Looking at a Box&Whisker box plot for the assets data‚ the presence of the outliers becomes visually clear: It is not surprising to see “big names” in the extreme outliers: those are
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Motion Picture Industry Ans 1: Using descriptive statistics such as the mean‚ median‚ standard deviation‚ range and quartile followings results were found: Variable Min Max Range Mean Deviation 1st Quartile 3rd Quartile Interquartile range Opening gross 0.009 108.436 108.427 9.37432 18.8747021 0.0625 12.4605 12.398 Total gross 0.025 380.176 380.151 33.0384 63.16469 0.3895 47.5585 47.169 No of theatres 5 3910 3905 1277.94 1379 45.5 2679 2634 weeks in top 60 1 27 26 8.68 6.38951161 3 13 10 Opening
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Tutorial Week 2 Summary Measures for Numerical Variables Introduction In this week’s tutorial‚ we look at summarising a single numerical variable. There are five (5) aspects that need to be investigated: average‚ spread‚ location‚ shape and outliers. You will complete some of the work by hand and the rest using Microsoft Excel. Specifically the aims of this tutorial are to: Produce frequency distributions and histograms for numerical data Calculate by pen-and-paper some of the standard summary
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Phuong Pham Prof. Johnson Lab 3 Gravimetric determination of Calcium as CaC2O4.H2O Feb‚ 27‚ 2014 I. Objective: The purpose of this lab is to determine how well gravimetric method measures the calcium level in a solution of known calcium concentration. II. Method: a) Overview: In this lab we will prepare 25 mL known concentration Calcium solutions. Then we will use Gravimetric method to determine the concentration of Calcium in each solution to figure out how well this method is. As we know
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group down by looking only at the student interns‚ the standard deviation is smaller‚ because the individuals within this group have salaries that are less variable. The second data set isn’t better‚ it’s just less variable. Similar to the mean‚ outliers affect the standard deviation (after all‚ the formula for standard deviation includes the mean). Here’s an example: the salaries of the L.A. Lakers in the 2009–2010 season range from the highest‚ $23‚034‚375 (Kobe Bryant) down to $959‚111 (Didier
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Normal: n = 27‚ which is less than n=30. We need to look at the boxplot and histogram to determine if the sample is normal. The diagram shows that the sample data is skewed to the left‚ with an outlier at 200. The sample is not normal because the diagram is not unimodal‚ symmetrical‚ and it contains an outlier. D) E) Since the p-value is less than the significance level at 0.05‚ we reject the null hypothesis and conclude that there is sufficient evidence to support the claim
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