1. Various forms of inequality are experienced in Australia today (e.g. gender, class, ethnicity, age, ability, etc.). Using a sociological perspective and concepts, select and discuss a current example of inequality in Australia, and provide sociological explanations for these patterns. In what ways does that type of inequality also intersect with other forms of inequality? Document Preview:

SOCY 1050 MAJOR RESEARCH PROJECT MARKING CRITERIA SHEET Name: Student no: Mark: /40 Criteria Mark

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1)utilities expense, 2)accounts payable, 3)commissions,4)capital, 5)withdrawals.where do they appear? income statement or statement of changes in owner equity or balance sheet.i think #1 is balance sheet #2 is income statement, #3 statement of chnges in owner equity #4 i think blance sheet #5 owner equity #6 income statement. please correct if iam wrong and write the right ans. and mke it clear so i could understand why.please.

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1. Using the data in Table 2.3, calculate average fixed cost and average variable cost. Plot these on a graph with the average total cost and briefly explain the result.

2. When should a business cease production in the short run?

3. What costs need to be covered in the long run?

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1. Using the formulation in Section 10.3, plot the bet size (m) as a function of the maximum predicted probability

2. Draw 10,000 random numbers from a uniform distribution with bounds

(a) Compute the bet sizes m for

(b) Assign 10,000 consecutive calendar days to the bet sizes.

(c) Draw 10,000 random numbers from a uniform distribution with bounds

(d) Form a pandas series indexed by the dates in 2.b, and with values equal to the index shifted forward the number of days in 2.c. This is a t1 object similar to the ones we used in Chapter 3.

(e) Compute the resulting average active bets, following Section 10.4.

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1. Using the function mp Sample TW, compute the average uniqueness of each label. What is the first-order serial correlation, AR(1), of this time series? Is it statistically significant? Why?

2. Fit a random forest to a financial dataset where

(a) What is the mean out-of-bag accuracy?

(b) What is the mean accuracy of k-fold cross-validation (without shuffling) on the same dataset?

(c) Why is out-of-bag accuracy so much higher than cross-validation accuracy? Which one is more correct / less biased? What is the source of this bias?

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