INTRODUCTION In the town of Lexington, Massachusetts, the real estate company VALMAX has received many complaints from two sets of customers: the first set believes that they were advised to post asking-prices for their houses that were too low compared to other brokers’ listings while the second set believes that they were advised to accept selling-prices for houses that they purchased that were too high relative to the selling-prices for houses brokered by other realtors. Based on the given
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To Buy: http://hwaid.com/shop/qnt-275-new-final-exam-2016/ What is the name of the variable that's used to predict another variable? Explanatory Standard error of the estimate Response Coefficient of determination Professors at a local university earn an average salary of $80,000 with a standard deviation of $6,000. The salary distribution is approximately bell-shaped. What can be said about the percentage of salaries that are at least $74,000? About 97.5 percent About 84 percent About
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0.05 Returns on S&P 500 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 1992 1993 1994 1995 1996 1997 1998 1999 2000 © Eric Zivot 2006 1 Estimated Standard Errors > se.muhat = sigmahat.vals/sqrt(nobs) > rbind(muhat.vals,se.muhat) sbux msft sp500 muhat.vals 0.0277 0.0275 0.01253 se.muhat 0.0135 0.0106 0.00378 > se.sigma2hat = sigma2hat.vals/sqrt(nobs/2) > rbind(sigma2hat.vals,se.sigma2hat)
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randomly with a standard deviation of 1%. Assume a normal distribution. 3. The decision makers at MTR believe that in Year 1, their share of the potential market would most likely be 40%, at worst 20%, and at best 50%. All values between 20% and 50% are possible, with the likelihood decreasing ‘linearly’ as the values move away from 40%. Further, the average number of buys per ‘MTR’ customer is 10 chinese food trays per year. Assume this average to be normally distributed with a standard
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6: Introduction to Hypothesis Testing Significance testing is used to help make a judgment about a claim by addressing the question, Can the observed difference be attributed to chance? We break up significance testing into three (or four) steps: Step A: Null and alternative hypotheses The first step of hypothesis testing is to convert the research question into null and alterative hypotheses. We start with the null hypothesis (H0). The null hypothesis is a claim of “no difference.” The opposing
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PROC FREQ [DATA=dataset] [ORDER=FREQ|INTERNAL|DATA]; [TABLES vars ... [/ [MISSING] [NOCUM] ;] DATA; INPUT dept$ pos$; CARDS; CM CLK CM MGR BA CLK BA CLK CM MGR EE MGR EE CLK CM CLK CM MGR BA CLK BA CLK CM MGR EE MGR EE CLK RUN; PROC FREQ ORDER=FREQ; TABLES dept*pos / MISSING NOCUM; RUN; Frequency‚ Percent ‚ Row Pct ‚ Col Pct ‚CLK ‚MGR ‚ Total ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ
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failures. Their complaint was of single machines with multiple leak locations. In some cases, this meant that hoses were falling off the machine, causing a complete loss of hydraulic oil. Company A’s warranty covers the cost of the part as well as standard repair time. These dealers have become increasingly frustrated by this as they are Company Apaying drive time to and from the customer, as well as the cost of the oil. In assessing this situation, the first step was to verify that the number of
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00271768 Min 0.517152 1.439628 Range 0.515063122 0.56308968 Standard Deviation 0.154764824 0.181134321 Variance 0.023952151 0.032809642 Table 2 So we can conclude from the figures above: Firstly, even though the ranges of both UK and Australia exchange rates are close to 0.5, the maximum of Australia is nearly 2 times of the minimum. But there is no such a big percentage change in the UK exchange rate. Secondly, the standard deviations of two countries’ exchange rates are small, which means
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control charts have a midpoint (or centerline) which corresponds to the process average which is the mean of the normal distribution. A horizontal line is plotted as dotted line but can be reversed and plotted as a central dotted line. Upper control limit and lower control limit lines are present above and below to this dotted line which represent three standard deviations above and three standard deviations below the process mean . Data is provided about the X Bar and Range control charts , it shows the
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normally distributed. In this case the Median and the IQR are better indicators of the distribution. Central Tendency: Mean = 113.76; Median = 108; Mode = 128 Dispersion: Standard Deviation = 39.05; IQR = 60; Range = 169 Number: n = 147 Min/Max: 53/222 Overnight Low OAT in F° This data set is distributed normally. Central Tendency: Mean = 66.3; Median = 65.3; Mode = 67.8 Dispersion: Standard Deviation = 7.9; IQR = 11.7; Range = 36.9 Number: n = 147 Min/Max: 48.9/85.8 Confidence
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