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A young investment manager tells his client that the probability of making a positive return with his suggested portfolio is 96%. What is the risk (standard deviation) that this investment manager has assumed in his calculation if it is known that returns are normally distributed with a mean of 7.3%?
The rockets are playing Lakers tonight in basketball. The lakers average 90 points a game, with a SD of 10. What would the rockets need to score to be 80% sure of victory, 90% sure, 95% sure.
Confidence Intervals around a Population Parameter Never preferred but is accepted as a Trade off for cost and/or time. Dataset Accuracy Confidence Example Preference?
Show the complete ANOVA table for this test including the test statistic. The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude?
That they all had false positive results. Is it unusual to arbitarily choose 3 subjects without replacement and get three results which are all false positive results? Describe.
Explain the independent variable, covariate, and levels (groups) of eah. Also, explain the dependent variable and its associated measurement scale and expected outcome.
In order to control costs, a company wishes to study the amount of money its sales force spends entertaining clients. The following is a random sample of six entertainment expenses (dinner costs for four people) from expense reports submitted by m..
To test whether there is a significant mean difference among the three.
How does hypothesis testing contribute to the scientific knowledge base? What is one example of a null hypothesis statement?
We have been informed that the stock has gone up 20%. What is the probability of a rise or fall in the GDP?
To determine whether the mean is greater than 16 ounces using large sample test.
Weights are distributed normal with a mean of 132 pounds and a standard deviation of 27.4 pounds. In a random sample of 150, how many of them would be expected to weigh between 100 and 115 pounds?
The chance the late flight is full is 0.7. The chance both flights are full is 0.6. Can we believe the two flights being full are independent events?
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