What is the power demand value that is exceeded with 80% probability?
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- Determine the heteroscedasticity in a scatter plot?5) What is true about a regression using data from a randomized controlled trial? a) The independent variable is exogenous because it was determined randomly. b) The line of best fit does not minimize the sum of squared residuals. c) It eliminates all error due to unmeasured variables. d) The estimated slope is significant no matter how many observations are in the sample. e) The slope of the line of best fit must be equal to the true relationship.What is the least squares regression line . and what are the least squares point estimates ?Why is it dangerous to extrapolate outside the experimental region?
- An article in International Journal of Electrical Power & Energy Systems {"Stochastic Optimal Load Flow Using a Combined Quasi- Newton and Conjugate Gradient Technique" (1989, Vol. 11(2), pp. 85-93)} considered the problem of optimal power flow in electric power systems and included the effects of uncertain variables in the problem formulation. The method treats the system power demand as a normal random variable with 0 mean and unit variance. What is the power demand value that is exceeded with 8096 probability? Round your answer to two decimal places (e.g. 98.76). Ancwor ic Rlanlk 12. Does the envelope graph below have an Euler Walk and circuit?A BS Agribusiness Management student from UPLB is conducting a Special Problem about the evidence of profitability among SMES in the Philippines. She intends to provide the risk in engaging to SMES which is measured by the variance of the usual daily revenue. If the variance is found to be above 500K pesos, the risk is still high which means a successful business transformation in various dimensions of their operations must be done (e.g. spanning enhanced entrepreneurial skill, innovation in process and product development, more successful collaboration across SMES and with larger firms, and improved crisis resilience among other factors) through a seminar to be supported by the different government agencies. R COMMANDER OUTPUT One sample Chi-squared test for variance data: daily_revenue x-squared = 389.18, df = 22, p-value < 2.2e-16
- 2. In building an arena, steel bars with a mean ultimate tensile strength of 400 Megapascal (MPa) with a variance of 81 MPa were delivered by the manufacturer. The project engineer tested 50 steel bars and found out that the mean ultimate tensile strength is 390 MPa. The decision for the extension of the contract with the manufacturer depends on the engineer. Test the hypothesis whether there is no significant difference between the two means using a two - tailed with a = 0.01.Diabetes Physicians recommend that children with type-I (insulin dependent) diabetes keep up with their insulin shots to minimize the chance of long-term complications. In addition, some diabetes researchers have observed that growth rate of weight during adolescence among diabetic patients is affected by level of compliance with insulin therapy. Suppose 12-year-old type-I diabetic boys who comply with their insulin shots have a weight gain over 1 year that is normally distributed, with mean = 13 lbs and variance = 13 lbs. (Assume for parts (a) and (b) that weight can be measured exactly and no continuity correction is necessary. Round your answers to four decimal places.) USE SALT (a) What is the probability that compliant type-I diabetic 12 year-old boys will gain at least 17 lbs over 1 year? X (b) Conversely, 12-year-old type-I diabetic boys who do not take their insulin shots have a weight gain over 1 year that normally distributed with mean = 7 lbs and variance = 13 lbs. Answer…a) What is the strongest independent variable for the model predicting self-control for respondents living in good neighborhoods? and living in bad neighborhoods? b) In every situation above, the standard errors for the model predicting self-control for respondents in good neighborhoods are lower than the standard errors predicting self-control for respondents in bad neighborhoods. What might be one reason why this might occur?
- A manufacturer of a new medication on the market for Parkinson's disease makes a claim that the medication is effective in 75% of people who have the disease. One hundred fifty individuals with Parkinson's disease are given the medication, and 100 of them note the medication was effective. Does this finding provide statistical evidence at the 0.05 level that the effectiveness is less than the 75% claim the company made? Make sure to include parameter, conditions, calculations, and a conclusion in your answer.During the spring of 1999, many fuel storage facilities in Serbia were destroyed by bombing. As a result, significant quantities of oil products were spilled and burned,resulting in soil pollution. The article “Mobility of Heavy Metals Originating from Bombing of Industrial Sites” (B. Škrbić, J. Novaković, and N. Miljević, Journal of Environmental Science and Health, 2002:7–16) reports measurements of heavy metal concentrations at several industrial sites in June 1999, just after the bombing, and again in March of 2000. At the Smederevo site, on the banks of the Danube River, eight soil specimens taken in 1999 had an average lead concentration (in mg/kg) of 10.7 with a standard deviation of 3.3. Four specimens taken in 2000 had an average lead concentration of 33.8 with a standard deviation of 0.50. Find a 95% confidence interval for the increase in lead concentration between June 1999 and March 2000.A researcher would like to conduct a hypothesis test to determine if the mean age of faculty cars is less than the mean age of student cars. A random sample of 25 student cars had a sample mean age of 7 years with a sample variance of 20, and a random sample of 32 faculty cars had a sample mean age of 5.8 years with a sample variances of 16. What is the critical value of the rejection region if the difference is taken as student - faculty and the test is conducted using a 5% significance level?
