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The Big Nine's Artificial Intelligence systems by Google, Microsoft, Amazon, Facebook, IBM, Apple, Baidu, Alibaba, and Tencent are increasingly accessing our real-world data to build products that show commercial value. List down the risks that involved in implementing of such a system which can learn from human interaction, emotions, and behavior. Identify the goals that these companies want to achieve from the implementation of Al technologies? What is the acceptable level of evolution of A.I. at which people will be willing to compromise for data collection?
What are dummy variables? What is their importance in regressing analysis?
Explain Cochrane-Orcut transformation so that no autocorrelation is present?
Discuss nature of Multi-collinearity. What are the remedial measures to alleviate problem of Multi-collinearity?
Explain the underlying ideas behind the logit model. Explain on what grounds logit model is an improvement over linear probability model?
1. Before the flea market
2. During the flea market
3. After the flea market
manufactures one product that currently sells for N$280. This product has the following costs:
Variable costs:
Material costs – 10 square metres at N$11.40 per square metre
labour costs – 8 hours at N$6.10 per hour plus 12 hours at N$4.50 per hour
Royalties – N$15 per product
Fixed costs are N$10,600
You are required to calculate the following:
(a) The contribution (per product) towards the fixed costs of Parklands Ltd.
(b) The number of products that would have to be sold to break even.
(6 marks) (5 marks)
(c) The number of products that would have to be sold to earn Parklands Ltd a profit of
N$10,000. (6 marks)
(d) The profit (or loss) earned if the labour costs are reduced by 10% and the business sells 225 products. (7 marks)
(e) If the fixed costs reduced, would the number of products needed to break even, increase
or decrease?
A Poisson distribution with mean of 0.60 is a: a. symmetrical distribution. b. normal distribution. c. negatively skewed distribution (skewed to the left). d. positively skewed distribution (skewed to the right). e. binomial distribution. f. t-distribution.
