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In order to estimate the average electric usage per month, a sample of n = 81 houses was selected, and the electric usage was determined.
(a) Assume a population standard deviation of 450-kilowatt hours. Determine the standard error of the mean. _______________
(b) With a probability of 0.95, what is the size of the margin of error? _______________
(c) If the sample mean is 1858-kilowatt hours, what is the 95% confidence interval estimate of the population mean? _______________________
Which sessions, morning or afternoon, had more stable or uniform attendance over three-day period? Describe by using the suitable calculation for each data set and compare two calculations .
At.01 significance level, can we conclude that there is more variation in selling prices of oceanfront homes?
Claculate the exponential also adjusted exponential smoothing forecast and linear trend forecasting. The hotel has experienced the following occupancy rates for the past 9 years.
Mean=63.6 Standard deviation=2.5 If 36 data points are arbitrarily chosen, determine the probability that mean is less than 64.
First explain what the Gini coefficient is and what hypothetical Gini values of 0 and 1 mean. Sort the data by the Gini coefficient in 2000 and look at the list of countries.
For the data giben below, prepare a R-chart. Note that the sample size is three.
An ANOVA procedure is used for data that was obtained from four sample groups each comprised of five observations. The degrees of freedom for the critical value of F are:
Describe and analyze your quantitative data and Briefly address the data analysis process.
To determine whether there exists mean difference among the groups:
What should the cut-off score be for the interviews? (Round to nearest whole number).
Find out the probability
Determine a 95 % confidence interval for the iron concentration.
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