A.) A telephone manufacturer finds that the life spans of its telephones are normally distributed, with a mean of 6.7 years and a standard deviation of 0.5 year. (Round your answers to three decimal places.)
What percent of its telephones will last at least 7.25 years?
What percent of its telephones will last between 5.8 years and 6.8 years?
What percent of its telephones will last less than 6.9 years?
B.) The amount of time customers spend waiting in line at the ticket counter of an amusement park is normally distributed, with a mean of 6.5 min and a standard deviation of 1 min.
Find the z-score for the following data value 8 min.
Find the probability that a customer will wait less than 8 minutes. (Round your answer to three decimal places.)
Find the z-score for the following data value 6 min.
Find the probability that a customer will wait less than 6 minutes. (Round your answer to three decimal places.)
In: Statistics and Probability
The following table shows age distribution and location of a random sample of 166 buffalo in a national park.
| Age | Lamar District | Nez Perce District | Firehole District | Row Total |
| Calf | 16 | 12 | 13 | 41 |
| Yearling | 10 | 12 | 11 | 33 |
| Adult | 30 | 31 | 31 | 92 |
| Column Total | 56 |
Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance.
(a) What is the level of significance?
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State the null and alternate hypotheses.
H0: Age distribution and location are independent.
H1: Age distribution and location are not independent.
H0: Age distribution and location are not independent.
H1: Age distribution and location are not independent.
H0: Age distribution and location are not independent.
H1: Age distribution and location are independent.
H0: Age distribution and location are independent.
H1: Age distribution and location are independent.
(b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)
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In: Statistics and Probability
In: Statistics and Probability
1. For each of the following, define the random variable using words, tell what kind of distribution each has, and calculate the probabilities. Every day when Sally drives to school, she has a 70% chance of not finding a parking spot in the closest lot to her classroom (otherwise, she finds a spot). Each day is independent, meaning that finding a spot on one day doesn’t change the probability of finding a spot on any other day.
(a) (3 points) What is the probability that the tenth day is the fifth day that she gets a spot in the closest lot?
(b) (3 points) What is the probability that the tenth day is the first day that she gets a spot in the closest lot?
(c) (3 points) What is the probability that the she gets to park in the closest lot in 5 out of the next 10 days?
(d) (3 points) If she parks in the close lot at least 3 times in a week (5 days), she will treat herself to ice cream. What is the probability that she gets ice cream?
In: Statistics and Probability
Coffee is a leading export from several developing countries. When coffee prices are high, farmers often clear forest to plant more coffee trees. Here are data on prices paid to coffee growers in Indonesia and the rate of deforestation in a national park that lies in a coffee-producing region for five years: Price(cents per pound) Deforestation (percent) 29 0.49 40 1.59 54 1.69 55 1.82 72 3.10 (a) Make a scatterplot. What is the explanatory variable? What kind of pattern does your plot show? (b) Find the correlation r step-by-step. That is, find the mean and standard deviation of the two variables. Then find the five standardized values for each variable and use the formula for r.
Explain how your value for r matches your graph in (a). (c) Now enter these data into your calculator or Excel and use the correlation function to find r. Check that you get the same result as in (b). PLEASE, GIVE A DETAILED SOLUTION. THANK YOU IN ADVANCE!
In: Statistics and Probability
Text exercise 39 page 638. This question uses the same data as exercise 2 above, and the data is in the accompanying spreadsheet.
(a) Estimate the regression in Excel and report the regression line. [2 pts]
(b) Calculate a 95% confidence interval for the forecast of the average amount spent on entertainment at a city where the room rate is $89. [3 pts]
(b) Calculate a 90% confidence interval for the forecast of the idiosyncratic amount spent on entertainment at a city where the room rate is the average rate of $128. [3 pts]
(d) Use a t-test to test the hypothesis that there is a 1 to 1 relationship between entertainment expenses and hotel expenses. (ie test H0: β=1)
DATA:
| Data for Problem 39 p638 | |||
| city | room rate | Entertainment | |
| Boston | 148 | 161 | |
| Denver | 96 | 105 | |
| Nashville | 91 | 101 | |
| New Orleans | 110 | 142 | |
| Phoenix | 90 | 100 | |
| San Fdiego | 102 | 120 | |
| San Francisco | 136 | 167 | |
| San Jose | 90 | 140 | |
| Tampa | 82 | 98 | |
In: Statistics and Probability
Suppose that the current market price of VCRs is $300, that the average consumer disposable income is $30,000, and that the price of DVDs (a substitute for VCRs) is $500. Under these conditions annual U.S. demand for VCRs is 5 million per year. Statistical studies have shown that for VCRs the own-price elasticity of demand is –1.3. The income elasticity of demand for VCRs is 1.7. The cross-price elasticity of demand for VCRs with respect to DVDs is 0.8.
Use this information to predict the annual number of VCRs sold under the following conditions:
(a) Increasing competition from Asia causes VCR prices to fall to $270 with income and the price of
DVDs is unchanged.
(b) Income tax reductions raise average disposable personal income to $31,500 with prices unchanged.
(Do not use $31.5 for $31,5000!)
(c) An inventor in Menlo Park invents a cheaper way to produce DVDs, reducing the price of a DVD to
$400, with the price of VCRs and income unchanged.
(d) All of the events described in parts (a)-(c) occur simultaneously.
In: Economics
Forecasting Exercise Every year the U of I hosts the Lionel Hampton Jazz Festival. Below you will find some issues that need to be forecast in order to provide the best experience possible to customers, develop effective plans, and deliver "profits" to businesses. How many schools (and students) will be attending? How many will attend Saturday night’s concert? (Lionel Hampton Jazz Festival Big Band) What will be room availability in Lewiston because of the festival? What should I charge for my hotel rooms during the busy weekend? Is there a threshold? How much more should Casa Lopez be ordering for Thursday, Friday, and Saturday? What will the economic impact be to the city of Moscow? Select two or three and write a double-spaced paper telling what you forecasted and how you came up with the forecast you made – discuss the mechanics of how you would develop your forecasts. The specific numbers are not as important as demonstrating a well thought out approach to your forecast.
In: Operations Management
Recently, the power of cloning to rescue endangered or extinct species was demonstrated by applying nuclear transfer methods to save the mouflon, a species of wild sheep (left half of figure). This result piqued a fair amount of general interest, because of its possible implications for the return of other, more exotic, species from the jaws of extinction (as pictured on the right). Suppose a wealthy investor came to you with a proposal to create a real-life Jurassic Park (naturally, with far more detailed strategy to contain the animals), asking for your scientific analysis of their plan to use SCNT to bring back dinosaurs.
a. Considering all of the materials and technical steps involved in the process of nuclear transfer, list three problems you envision will be encountered by their team of scientists.
b. Speculate on how a researcher might overcome each of the obstacles you identified in (a), or state why you feel they may be insurmountable.
c. Given your analysis in (a) and (b), briefly comment on whether you think that the wealthy investor’s plan is feasible.
In: Biology
The Marriott company (Marriott: Reducing Our Footprint) makes the following claim about its "sustainability strategy":
Our sustainability strategy supports business growth and reaches beyond the doors of our hotels to preserve and protect our planet’s natural resources. Marriott’s environmental goals are to:
• Further reduce energy and water consumption 20% by 2020
(Energy 20 percent per kWh/conditioned m2; Water 20 percent per
occupied room (POR). Baseline: 2007);
• Empower our hotel development partners to build green
hotels;
• Green our multi-billion dollar supply chain;
• Educate and inspire associates and guests to conserve and
preserve;
Address environmental challenges through innovative conservation initiatives including rainforest protection and water conservation.
Find statements from two other companies that detail their environmental; policy/sustainability strategy. Summarize those statements. Critically evaluate the policies/strategies - Are they good policies/strategies? Will they truly help the environment?
In: Operations Management