A firm making production plans believes there is a 30% probability the price will be $10, a 50% probability the price will be $15, and a 20% probability the price will be $20. The manager must decidewhether to produce 6,000 units of output (A), 8,000 units (B) or 10,000 units (C). The following table shows 9 possible outcomes depending on the output chosen and the actual price.Production$10$156,000 (A)-$200$4008,000 (B)-$400$60010,000 (C)-$1,000$800If the mean-variance rule is used, how much should the firm produce?Multiple ChoiceO6,0008,000Profit (Loss) when price is$20$1,000$1,600$3,00010,000cannot use this rule to make the decisionX

In this question, we will be using Mean-Variance rule in order to find out how many units should be…

Answered: A firm making production plans believes…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The "Dogs of the Dow" are the stocks listed on the Dow with the highest dividend yield. The following table shows the top 10 stocks of the "Dogs of the Dow" list for 2015, based on their performance the preceding year. Symbol Company T VZ CVX PFE GE MCD McDonald's MRK AT&T Verizon XOM Chevron Pfizer General Electric Merck CAT Caterpillar ExxonMobil Price ($) Yield 33.59 46.78 93.70 112.18 3.82% 31.15 25.27 56.79 91.53 92.45 5.48% KO Coca-Cola 42.22 4.70% 3.63% 3.60% 3.48% 3.17% 3.06% 2.99% 2.89% You decide to make a small portfolio consisting of a collection of 4 of the top 10 Dogs of the Dow. (a) How many portfolios are possible? 210 ✔ portfolios (b) How many of these portfolios contain MRK but not PFE? 8 X portfolios (c) How many of these portfolios contain at most one stock priced above $60? 210 X portfolios
Determine whether the study depicts an observational study or an experiment. A scientist was studying the effects of a new fertilizer on crop yield. She randomly assigned half of the plots on a farm to group one and the remaining plots to group two. On the plots in group one, the new fertilizer was used for a year. On the plots in group two, the old fertilizer was used. At the end of the year the average crop yield for the plots in group one was compared with the average crop yield for the plots in group two.
The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 12 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. 5 6 7 Day Store 1 Store 2 1 Difference (Store 1 - Store 2) Send data to calculator ✓ 2 3 786 878 827 645 708 500 699 140 Yes No 4 646 802 712 579 527 367 76 115 66 181 133 8 (a) State the null hypothesis H and the alternative hypothesis H₁. H:D H₁:0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) ▼ 970 9 10 11 12 618 679 762 635 271 572 324 215 698 530 Based on these data, can the owner conclude, at the 0.05 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis…
What percentage of data would you predict would be between 25 and 50 and what percentage would you predict would be more than 50 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 25 and 50 as well as for more than 50. Now determine the percentage of data points in the dataset that fall within each of these ranges, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? Predicted percentage between 25 and 50: ________________________ Actual percentage: Predicted percentage more than 50 miles: Actual percentage: ___________________________________________ Comparison ____________________________________________________ Why? __________________________________________________________ Drive: 44 20 88 6 71 42 76 63 61 63 84 28 55 33 88 80 86 83 5 85 25 25 54 54 81 73 29 76 78…
Government agencies keep data about the income distribution of the population. The Watson family and Baker family live in a county with 9000 families. The Watson family's Income is at the 93rd percentile. The Baker family's income is at the 44th percentile. (a) Which of the following must be true about the Watson family's Income? About 93% of the families in their county earn less than the Watson family. O The Watson family earns about 93% of the highest income in their county. O The Watson family's income is in the bottom half of incomes in their county. O The Watson family earns $93,000. (b) Which of the following must be true about the Watson family's and the Baker family's incomes? Both the Watson family and the Baker family earn more than the median income. Both the Watson family and the Baker family earn less than the median O income. O The Watson family earns more than the Baker family. O The Baker family earns more than the Watson family. Explanation Check hp X Ⓒ2022 McGraw…
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