A waiter believes the distribution of his tips has a model that is slightly skewed to the left, with a mean of $9.10 and a standard deviation of $5.70. He usually waits on about 30 parties over a weekend of work.
a) Estimate the probability that he will earn at least $350.
b) How much does he earn on the best 10% of such weekends?
A waiter believes the distribution of his tips has a model that is slightly skewed to...
A waiter believes the distribution of his tips has a model that is slightly skewed to the left, with a mean of $10.60 and a standard deviation of $5.70. He usually waits on about 50 parties over a weekend of work. a) Estimate the probability that he will earn at least $550. b) How much does he earn on the best 11% of such weekends?
A waiter believes the distribution of his tips has a model that is slightly skewed to the left, with a mean of 10.50 and a standard deviation of 6.10. He usually waits on about 50 parties over a weekend of work. A.) Estimate the Probability that he will earn at-least 550 B.) How much does he earn on the best 5% of some weekends? a.) P(tips from 50 parties > $550) = .5 (round to 4 decimal places)
A water believes the distribution of his tips has a model that is slightly skewed to the left, with a mean of 58.90 and a standard deviation of $4.40 He usually waits on about 30 parties over a wecked of work a) Estimate the probability that he will eam at least 5350 b) How much does he car on the best 5% of such weekends? a) Pltips from 30 parties > $350) - (Round to four decimal places as needed)
A waiterwaiter believes the distribution of hishis tips has a model that is slightly skewed to the leftleft, with a mean of $9.19.10 and a standard deviation of $5.15.10. HeHe usually waits on about 6060 parties over a weekend of work. a) Estimate the probability that hehe will earn at least $550550. b) How much does hehe earn on the best 55% of such weekends?
A company has a customer services call centre. The company believes that the time taken to complete a call to the call centre may be modelled by a normal distribution with mean 16 minutes and standard deviation σ minutes. Given that 10% of the calls take longer than 22 minutes, (a) show that, to 3 significant figures, the value of σ is 4.68.(3) (b) Calculate the percentage of calls that take less than 13 minutes.(1) A supervisor in the call centre claims that the mean...
36, Max believes that the sales of coffee at his coffee shop depend upon the weather. He has taken a sample of 5 days. Below you are given the results of the sample. Cups of Coffee Sold 350 200 Temperature 50 60 210 100 70 80 60 90 40 100 Which variable is the dependent variable? a. of Coffee sold Cups b. Compute the least squares estimated line. Compute the correlation coefficient between temperature and the sales of coffee. c....
8.7. A stockbroker, Richard Smith, has just received a call from his most important client, Ann Hardy. Ann has $50,000 to invest and wants to use it to purchase two stocks. Stock 1 is a solid blue-chip security with a respectable growth potential and little risk involved. Stock 2 is much more speculative. It is being touted in two investment newsletters as having outstanding growth potential, but also is considered very risky. Ann would like a large return on her...
The following ANOVA model is for a multiple regression model with two independent variables: Degrees of Sum of Mean Source Freedom Squares Squares F Regression 2 60 Error 18 120 Total 20 180 Determine the Regression Mean Square (MSR): Determine the Mean Square Error (MSE): Compute the overall Fstat test statistic. Is the Fstat significant at the 0.05 level? A linear regression was run on auto sales relative to consumer income. The Regression Sum of Squares (SSR) was 360 and...