Suppose the correlation, r, between two variables x and y is -0.44.  What percentage of the variability in y cannot be explained by x?

The time it takes to process phone orders in a small florist/gift shop is normally distributed with a mean of 6 minutes and a standard deviation of 1.24 minutes.  What cutoff value would separate the 2.5% of orders that take the most time to process?

Recent statistics report that the national rate of unemployment among persons with disabilities is 14.5%.  The local government of a small city samples 200 individuals with disabilities and finds that 44 are unemployed.  The 99% confidence interval for the unemployment rate among persons with disabilities in their city is ________________________.

Selling price and amount spent advertising were entered into a multiple regression to determine what affects flat panel LCD TV sales.  The regression coefficient for Advertising was found to be +3.0926, which of the following is the correct interpretation for this value?

In a metal fabrication process, metal rods are produced to a specified target length of 15 feet.  Suppose that the lengths are normally distributed.  A quality control specialist collects a random sample of 16 rods and finds the sample mean length to be 14.8 feet and a standard deviation of 0.65 feet.  The standard error of the mean is ________________________ .

One division of a large defense contractor manufactures telecommunication equipment for the military.  This division reports that 12% of non-electrical components are reworked. Management wants to determine if this percentage is the same as the percentage rework for the company’s electrical components.  The Quality Control Department plans to check a random sample of the over 10,000 electrical components manufactured across all divisions.  The resulting 95% confidence interval based on these data is .0758 to .1339.  Which of the following is the correct interpretation?

A small independent organic food store offers a variety of specialty coffees.  To determine whether price has an impact on sales, the managers kept track of how many pounds of each variety of coffee were sold last month.      PRICE PER POUND POUNDS SOLD   $ 3.99 75   $ 5.99 60   $ 7.00 65   $ 12.00 45   $ 4.50 80   $ 7.50 70   $ 15.00 25   $ 10.00 35   $ 12.50 40   $ 8.99 50       Mean $ 8.75 54.50 Standard Deviation $ 3.63 18.33 Correlation -0.927   Based on the data and summary statistics, the intercept of the estimated regression line that relates the response variable (monthly sales) to the predictor variable (price per pound) is ______________ .

A sample of 33 companies was randomly selected and data collected on the average annual bonus, turnover rate (%), and trust index (measured on a scale of 0 – 100).  Using the output below, and a significance level of α = .01, we can conclude that ________________________ .  

The scatterplot shows monthly sales figures (in units) and number of months of experience for a sample of salespeople.    The correlation between monthly sales and level of experience is most ________________________ .

A company manufacturing computer chips finds that 8% of all chips manufactured are defective. Management is concerned that high employee turnover is partially responsible for the high defect rate. To decrease the percentage of defective chips, management decides to provide additional training to those employees hired within the last year.  After training was implemented, a sample of 450 chips revealed only 27 defects.  Was is the P-value for this proportion test?