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A sample of five full service gasoline stations was taken and the price per gallon (to the nearest cent) was recorded. The prices recorded were $1.36, $1.37, $1.38, $1.39, and $1.40. What is the range, mean price, and the standard deviation of the gasoline?
The ANOVA table is given below,as well as a table of means and standard deviations for the three groups. Evaluate the t statistic for testing contrast
a. Is there evidence the mean amount is different from 1.0 gallon (alpha= 0.01)? b. Compute the p-value and interpret its meaning. c. construct a 99% confidence interval estimate of the population mean amount of paint.
How can I conduct statistic experimental design for three independent variable (time, amount, temperature) are useful to predict Y? Please include any approach steps and How can I interpreted?
The Awake Coffee Company produces gourmet instant coffee. The company wants to be sure that the average fill of coffee containers is 12.0 ounces.
A population has a mean of 80 and a standard deviation of 7. A sample of 49 observations will be taken. The probability that the sample mean will be larger than 82 is?
CCI is unable to adjust the mean of the filling process. However, it is able to adjust the standard deviation of the filling process.
What is an example of two variables that are likely to be correlated because they are both changing over time?
We wish to estimate the population proportion. We want to be 95 percent confident of our results and we want the estimate to be with .01 of the population parameter. No estimate of the population proportion is available. What value should we use f..
How large a sample is needed to find the population mean within $250 at 99 percent confidence?
Illustrate by computation that, for straight -line regression of Y on x, β1= 0.
We desire to test at 0.05 level of significance whether modification increases the life of battery. What is our decision rule? Reject null hypothesis if calculated t is less than 1.96.
Explain why an observed value of 250 hours is not unusual for an individual light bulb, even though it is outside the confidence interval you calculated.
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