Find the critical value for n = 26, α = 2% and HA: µ >
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Find the critical value for n = 26, α = 2% and HA: µ >
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- A waiting line meeting the assumptions of M/M/1 has an average time between arrivals of 10 minutes, and it services items on an average of 5 minutes each. What is the utilization factor? 0.25 0.33 0.50 0.67 1.50A product is synthesized in a chemical plant that is subsequently used as a preservative for canned products. The yield of the process is temperature dependent. The following data are available. Consider an optimum yield of 38.5 to 45, whereby the plant operates at 175°C. If the working temperature drops to 162°C due to a breakdown, what will be the best yield until it is repaired?Consider the following simple relationship between aggregate savings St and aggregate income Yt: St= a + BYt + εt, t = 1, ..., T. For some country this relationship is estimated by OLS over the years 1956-2005 (T = 50). The results are given below: = Variable Coefficients Constant 38.90 Y 0.098 22.57, R² = 0.93, DW = 0.70 Standard error 4.57 0.009 where ô is the standard error of regression, R² is the multiple correla- tion coefficient, and DW is the Durbin-Watson statistic. (a) Explain why the result indicate that there may be a problem of positive autocorrelation. Can you give arguments why in eco- nomic models positive autocorrelation is more likely than nega- tive one?
- Given the following, determine the regression equation of (1) X1 on X2 and X3 (i) X2 on X1 and X3 12 = 0.8 o1:= 10 13 = 0.6 02 = 8 123 = 0.5 03 = 5Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 138 to 187 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.94 cm, y=81.54 kg, r=0.261, P value=0.009, and y=−102+1.03x. Find the best predicted value of y (weight) given an adult male who is 181 cm tall. Use a 0.10 significance level.In using a double exponential smoothing method, we calculated S3 to be 2,255.6 and G3 to be 12.2. D4 is 1,916 and alpha and beta values are 0.4, and 0.53, respectively. The error for the forecast in period 4 (F4) is:
- A medical social worker is interested in examining the relationship between patients who receive social support by family members (yes/no) and the patients’ outcome (failure/success). She collected data over a period of a month (N=100). A chi square analysis revealed the following: χ2= 5.65, df = ?, p = .01. 1. Was a chi-square analysis appropriate to analyze these variables? How do you know?Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 139 to 189 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.70 cm, y=81.43 kg, r=0.324, P-value=0.001, and y=−101+1.06x. Find the best predicted value of y (weight) given an adult male who is 151 cm tall. Use a 0.10 significance level. Question content area bottom Part 1 The best predicted value of y for an adult male who is 151 cm tall is enter your response here kg. (Round to two decimal places as needed.)the sales revenue of a new mobile phone model is found to follow an AR(1) process, as shown below. what is the 3-lag AČF value? Xt =0.7*xt-1+Wt 0.700 .0.343 0.490 0.240
- A number of studies have shown lichens (certain plants composed of an alga and a fungus) to be excellent bio-indicators of air pollution. An article gives the following data (n = 13) on x = NO3- wet deposition (g N/m²) and y = lichen (% dry weight): x 0.05 0.10 0.11 0.12 0.31 0.37 0.42 0.58 0.68 0.68 0.73 0.85 0.92 y 0.53 0.58 0.45 0.54 0.57 0.53 1.03 0.89 0.90 1.02 0.91 1.00 1.66 Predictor Constant no3 depo Estimate 0.39329 0.9286 0.1767 S = 0.1866 R-sq = 71.5% Standard Error 0.09566 t Stat 4.11 5.26 p-value 0.002 0.000 R-sq (adj) = 68.9% (a) What are the least square estimates of B and ẞ₁? (Round your answers to three decimal places.) bo = = (b) What is the margin of error for a 95% CI for ẞ₁? (Round your answer to four decimal places.) Margin of Error = (c) Predict lichen N for an NO3 - deposition value of 0.7. (Round your answer to three decimal places.) % dry weight (d) What is the estimate of σ? (Round your answer to four decimal places.) S = % dry weightSuppose that information about gender is coded as "1" if the person is female, and "0" otherwise. Consider the following simple model of hourly wage, W, determination: W = β0 + δ0G + β1X1 + u, where X1 stands for years of schooling. Which of the following does NOT pertain to the meaning of δ0? δ0 determines whether there is wage discrimination against women. If δ0>0 then given the same level of education for men and women, women earn more than men on average. If δ0>0, then given the same level of education for men and women, women earn less than men on average. δ0 reflects the wage difference based on gender only.18% of all college students volunteer their time. Is the percentage of college students who are volunteers smaller for students receiving financial aid? Of the 392 randomly selected students who receive financial aid, 55 of them volunteered their time. What can be concluded at the αα = 0.01 level of significance? H0: H1: The test statistic ? t z = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? > ≤ α