There are many reasons for an owner to place a brand on their hotel, but some feel that three factors are beginning to challenge the brand value proposition:
Do you think these factors represent a real challenge to brands, or are they just hype? Will brands need to adjust their value proposition?
In: Operations Management
The time needed for checking in at a hotel is to be
investigated. Historically, the process has had a standard
deviation equal to .146. The means of 39 samples of n = 17
are
| Sample | Mean | Sample | Mean | Sample | Mean | Sample | Mean |
| 1 | 3.86 | 11 | 3.88 | 21 | 3.84 | 31 | 3.88 |
| 2 | 3.90 | 12 | 3.86 | 22 | 3.82 | 32 | 3.76 |
| 3 | 3.83 | 13 | 3.88 | 23 | 3.89 | 33 | 3.83 |
| 4 | 3.81 | 14 | 3.81 | 24 | 3.86 | 34 | 3.77 |
| 5 | 3.84 | 15 | 3.83 | 25 | 3.88 | 35 | 3.86 |
| 6 | 3.83 | 16 | 3.86 | 26 | 3.90 | 36 | 3.80 |
| 7 | 3.87 | 17 | 3.82 | 27 | 3.81 | 37 | 3.84 |
| 8 | 3.88 | 18 | 3.86 | 28 | 3.86 | 38 | 3.79 |
| 9 | 3.84 | 19 | 3.84 | 29 | 3.98 | 39 | 3.85 |
| 10 | 3.80 | 20 | 3.87 | 30 | 3.96 | ||
a-1. Construct an x⎯⎯x¯ -chart for this process with three-sigma
limits. (Do not round intermediate calculations. Round your answers
to 2 decimal places.)
| UCL | |
| LCL | |
a-2. Is the process in control?
Yes
No
b. Analyze the data using a median run test and an up/down run
test. What can you conclude?
| Test | Conclusion |
| Median | (Click to select) Random Non-random |
| Up/Down | (Click to select) Random Non-random |
rev: 04_08_2019_QC_CS-165352
In: Math
What is the price of an apartment if the monthly rent is $3,500, the monthly discount rate is 0.6%, and the monthly growth rate is 0.3%. Assume that for a special offer the first three month of rent are free.
In: Finance
A coffee machine is supposed to dispense 8 ounces (oz) of coffee into a paper cup. In reality, the amounts dispensed vary from cup to cup. However, if the machine is working properly, the standard deviation of the amounts dispensed should be less than 0.3/0.4/0.5 oz. To test this, a random sample of 10/15/20 cups was taken, and it give a standard deviation of 0.255 oz.
a) At the 5% significance level, do the data provide sufficient evidence to conclude that the standard deviation of the amounts being dispensed is less than 0.3/0.4/0.5 oz?
b) Why is it important that the standard deviation of the amounts of coffee being dispensed not be too large?
In: Statistics and Probability
Consider the following scenario analysis:
| Rate of Return | |||||
| Scenario | Probability | Stocks | Bonds | ||
| Recession | 0.3 | -4 | % | 12 | % |
| Normal economy | 0.4 | 13 | 7 | ||
| Boom | 0.3 | 22 | 3 | ||
Assume a portfolio with weights of 0.60 in stocks and 0.40 in bonds.
a. What is the rate of return on the portfolio in each scenario? (Enter your answer as a percent rounded to 1 decimal place.)
b. What are the expected rate of return and standard deviation of the portfolio? (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places.)
c. Would you prefer to invest in the portfolio, in stocks only, or in bonds only? Explain the benefit of diversification.
In: Finance
Consider the following information on two risky asset: Investment A and Investment B. State of the Economy Probability of State of Economy Return on Investment A (%) Return on Investment B (%) Recession 0.4 16% 12% Normal 0.3 18% 14% Boom 0.3 5% 28% a. What is the expected return for Investment A? b. What is the expected return for Investment B? c. What is the standard deviation for Investment A? d. What is the standard deviation for Investment B? e. What is the expected return on a portfolio that is 40% invested in Investment A and the remainder in Investment B? f. What is the standard deviation of the portfolio in part (e) if the covariance between Investment A and Investment B is -0.0016?
In: Finance
Problem 6-06
Expected Returns: Discrete Distribution
The market and Stock J have the following probability distributions:
| Probability | rM | rJ |
| 0.3 | 12% | 19% |
| 0.4 | 10 | 3 |
| 0.3 | 17 | 11 |
In: Finance
Please show all steps. Consider the following data pertaining to the three warehouses operated by a company:
| Warehouse # |
Std. deviation of lead time demand |
| 1 | 845 |
| 2 | 410 |
| 3 | 225 |
The company considers consolidating any two of its warehouses (i.e., risk pooling). Based on
the information provided above and given that lead time demands between any two
warehouses are correlated at -0.3 (i.e.,ρ12=ρ23=ρ13= -0.3). In which case will the reduction
in safety stocks resulting from warehouse centralization likely be the greatest if we want to
achieve a 97% service level? (Please provide detailed calculation processes. Typed also)
In: Operations Management
In: Chemistry
how do you make a copper(II) sulfate solution with an assigned concentration between 0.04 M and 0.2 M
In: Chemistry