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One week, when the price was lowered by 5%, sales revenue went up 13% relative to the average week at the regular price. Another week, with the price lowered by 10%, sales revenue was up 18%. The week with the lowest price (lowered by 20%) had sales revenue up 29%.
Using standard methods for linear statistical prediction, find the percent increase in sales revenue that would be expected if the price were lowered by 15%.
Find the usual measure of the strength of association between price reduction and sales revenue increase.
Test whether the mean weight is greater than 16 ounces with P-value approach.
Determine the least square trend equation. Estimate the number of employees in 2008. By how much the number of employees decreases (or increases) per year on the average?
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots
Suppose the weight of a product is normally distributed with a mean of 1.5 and a variance of 0.2. What percentage of products will have weights within +/- 3 standard deviations? Critically discuss the lower and upper limits bounding 50% of product we..
Each vehicle had the gallon of gas added to the empty tank and then driven until empty. Number of miles travelled for all twelve readings are below. Use data to compute the mean and median mileages.
According to a well-known newspaper journal, 58.3% of the 222,900 households in particular county get the Sunday edition of local newspaper. Assume that random samples of 200 households are selected.
Computing the probability values using normal distribution - what proportion of licensed drivers are less than 30 years old?
After calculating the sample size needed to estimate a population proportion to within 0.04, your statistics professor told you the maximum allowable error must be reduced to just .01. If the original calculation led to a sample size of 800, the s..
The mean annual salary paid to all employees in a company was EURO 30.000. The mean annual salaries paid to male and female employees of the company were EURO 32.000, and 24.000, respectively. Determine the percentage of males and females employed..
Determine whether the difference in proportions is significant at the 0.05 level.
Looking at the data, the manufacturer is incorrect in its label claim. Perform hypothesis testing to prove or disprove it. Is the manufacturer correct in its label claim? Explain.
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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