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At the beginning of 2004, Ms. A purchased a number of share in various companies, as follows:
Company Name Number of Shares Purchase Price per Share (cents)
Equimix 500 113
Farringdon 800 83
Greenbridge 400 75
During the year she disposed of her entire holding of Equimix, selling at 130 cents per share, and also sold half her Greenbridge shares at 80 cents per share. She purchased a further 200 shares In Farringdon at 80 cents, and also bought 400 shares in Heavicast.
Expand the above table to show the change in Ms A's investment portfolio over the year, and construct a suitable diagram to illustrate that information.
The following frequency distribution was obtained. The data values are in hours. Construct a histogram for the data .
If Molly and Kathleen wishes to make a profit of $5,000 for summer, how many pupils do they require to enrol?
Finding the probability value for the given data using normal approximation
For the last 18 review periods the average sales figure has dropped to $11,500 with a standard deviation of $4,000. Management is concerned. Perform a hypothesis test to determine if this change in sales is a potential problem.
A statistics instructor wants to know which route will get her to school the fastest. Each day from October 2 to November 15, when she gets to the turn point she checks the odometer on her car
Find the probability that the number of who consider themselves basketball fans is :
What does null hypothesis for repeated-measures hypothesis test state?
Consider the following estimated regression equation, based on 10 observations.
Two t-curves have degrees of freedom 12 and 20, respectively. Which one more closely resembles the standard normal curve? Explain your answer.
Provide a brief description of the main features of these data from the scatter plot and Describe why you would use performance as the predictor variable and performane related pay as the dependent variable in such a model.
Multiple choice question using Forecasting techniques. Which among of the following models are best suited to forecast a time series with a stable seasonality component.
Determine the 90% confidence interval for average days worked by employees in all payroll departments?
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