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The data to the right represents the number of days of the growing season over the last 10 years in a certain area It is known that the data are normally distributed and s=23.89 days. Using these values as a simple random sample, construct an 80% confidence interval for the population standard deviation of the number of days in the growing season. 164, 188,206, 212, 168, 145, 208, 192, 212,210
Bill heats his house with natural gas. The gas usage is measured in therms (T). In January of 2007 he used 125 therms over 34 days (D) and the average temperature (T) was 49 degrees farenheit.
at a large university it is known that 50 of the students live on campus. the director of student life is going to take
Perform a two-tailed hypothesis test on both the legal services satisfaction and the sentence satisfaction variable's data using a .05 significance level.
A health magazine presented results of a recent study that analyzed data collected by the U.S. Census Bureau in 2000. Results reveal that for both men and women in the United States, heart disease remains the number one killer, victimizing 500,000..
deliverable length 2 - 3 pages in ms worddescribe a situation in your business or personal life that required research.
Consider the following hypothesis test What is the value of the test statistic? What is the p-value? With a=.05, what is your conclusion, reject or accept?
Construct a 95% confidence interval for the population mean service charge if a customer's account falls below the $1,500 minimum.
Standard deviations for first- and second-time and confidence interval
A cyclist traveled at a rate of 32 mph to visit a nearby town. The cyclist averaged 10 mph on the return trip. If the round trip took 6.3 hours, find the distance to the nearby town.
A data set of ordered pairs with a negative linear correlation has a coefficient of determination of 85.2%. What is the linear correlation coefficient?
sixteen determinations of the ratio of iodine to silver in four different silver preparations were made with the
Multiple choice question using Forecasting techniques. Which among of the following models are best suited to forecast a time series with a stable seasonality component.
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