Suppose that management of Myrtle Air Express believes that the probability of strong demand is 0.7 and the probability of weak demand is 0.3. Use the expected value approach to determine an optimal decision.
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Suppose that management of Myrtle Air Express believes that the
demand is 0.7 and the probability of weak demand is 0.3. Use the
to determine an optimal decision.
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- A psychologist claims that less than 25.8% of the population suffers from professional problems due to fear of public speaking. In a random sample of 357 adults it was found that 96 of them suffer from fear of public speaking. Use p-value method to agree or disagree with the true percentage of the population that suffers from fear of public speaking. Show all your work and enter the test statistic. show formulas and draw all curves.Can you please anwer all parts of the question. The Conference Board produces a Consumer Confidence Index (CCI) that reflectspeople’s feelings about general business conditions, employment opportunities, and their own income prospects. Some researchers feel that consumer confidence is a function of median household income. Shown here are CCIs for 9 years and median household incomes for thesame 9 years published by the U. S. Bureau of the Census.5) Estimate the difference between the proportion of females and males that are very satisfied from the rooms with 95% confidence. (Q2=GENDER,Q12=SATISFIED)
- The lowest portfolio risk will result when the asset returns are perfectly positively correlated. Select one: True FalseImport the data from the Hill City Excel file into Minitab.You are trying to predict Price.Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables should be self explanatory. 1.Perform an F Test for overall significance of the model 2.Perform a T test for slope for the age variable 3. Find a 95% confidence interval for the slope of the SqFeet variable4. Create a prediction, CI, and PI for 1 new set of x values (any valid numbers you want), and interpret each.5. Run the residual plots and indicate if they show any problems with the model.Suppose model (XY, XZ, YZ) holds in a 2 x 2 x 2 table, and the common XY conditional log odds ratio at the two levels of Z is positive If the XY and YZ conditional log odds ratios are both positive or both negative, show that the XY marginal odds ratio is larger than the XY conditional odds ratio.
- A sociologist of education wants to prove that students’ sense of mastery and control before a math test could increase if students had a chance to practice with examples of questions from typical tests. The sociologist has long studied sense of content’s mastery and emotional control pre-math test with a scale called NoStressM, which ranges from 0 to 50, where 0 indicates great stress, and 50 indicates great control and mastery. In the typical student population, the day before the math test, students score 20 points on average, with a standard deviation of 6 points. The sociologist selected at a random a sample of 60 students from different schools and 3 offered them to practice for a week with questions drawn from typical math tests. The day before the math test, she administered the NoStressM scale to the 60 students and found a sample mean of 23 and a standard deviation like the one in the population. Your turn: a) Formulate the null and the alternative hypotheses that fit this…Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables margin, - the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and • home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line: regress margin home if team===== "Brooklyn Nets" . Source Model Residual Total margin home _cons SS 1459.95122 15252.0488 16712 df 1459.95122 1 80 190.65061 None of the above 81 206.320988 Coef. Std. Err. 8.439024 3.049595 -5.219512 2.156389 MS t Number of obs F(1, 80) Prob > F R-squared O The Nets lost more games than they won in 2014 P>|t| 2.77 0.007 -2.42 0.018 Adj R-squared = Root…1. Suppose that you estimate a model of house prices to determine the impact of having beach frontage on the value of a house.14 You do some research, and you decide to use the size of the lot instead of the size of the house for a number of theoretical and data availability rea- sons. Your results (standard errors in parentheses) are: PRICE; = 40 + 35.0 LOT¡ – 2.0 AGE; + 10.0 BED; – 4.0 FIRE; (1.0) (5.0) (10.0) (4.0) (10) N = 30 R2 =.63 where: PRICE¡ =the price of the th house (in thousands of dollars) =the size of the lot of the th house (in thousands of square feet) = the age of the th house in years =the number of bedrooms in the th house =a qualitative/dummy variable for a fireplace (1 = yes for the th house) LOT; AGE; BED; FIRE; a. You expect the variables LOT and BED to have positive coefficients. Create and test the appropriate hypotheses to evaluate these expectations at the 5-percent level. b. You expect AGE to have a negative coefficient. Create and test the appropriate…
- Q18A cellphone provider has the business objective of wanting to determine the proportion of subscribers who would upgrade to a new cellphone with improved features if it were made available at a substantially reduced cost. Data are collected from a random sample of 600 subscribers. The results indicate that 131 of the subscribers would upgrade to a new cellphone at a reduced cost. Reducing the price will be profitable if at least 20% of the subscribers would upgrade. Complete parts (a) and (b) below. Question content area bottom Part 1 a. At the 0.01 level of significance, is there evidence that more than 20% of the customers would upgrade to a new cellphone at a reduced cost? Determine the null hypothesis, H0, and the alternative hypothesis, H1. A. H0: π=0.20 H1: π≠0.20 B. H0: π≥0.20 H1: π<0.20 C. H0: π≤0.20 H1: π>0.20 D. H0: π≠0.20 H1: π=Answer the following questions accordingly. Take your time. Thanks in advance!
