A coin-operated soda machine was designed to discharge, on the average, beverage per cup. To test the machine, a random sample of 15 cupfuls of soda was drawn from the machine and measured. The results were as follows: 6.95 7.00 6.99 6.92 6.88 6.98 7.02 7.00 6.99 7.10 7.01 6.96 7.04 7.00 7.05 Assuming that the amount of beverage dispensed is normally distributed, compute a 99% confidence interval estimate for µ=mean amount of soda dispensed (in ounces).

Consider a sampling distribution with p=0.11 and samples of size n each. Using the appropriate formulas, find the mean and the standard deviation of the sampling distribution of the sample proportion. a. For a random sample of size n = 4000. b. For a random sample of size n = 1000. c. For a random sample of size n = 500.

Listed below are body temperatures from five different subjects measured at 8 AM and again at 12 AM. Find the values of d and so. In general, what does μ represent? Temperature (°F) at 8 AM 98.4 99.2 97.4 97.7 Temperature (°F) at 12 AM 99.1 97.5 D 99.8 97.8 97.5 97.7 Let the temperature at 8 AM be the first sample, and the temperature at 12 AM be the second sample. Find the values of d and s. d= (Type an integer or a decimal. Do not round.)

A new industrial oven has just been installed at Piatt Bakery. To develop experience regarding the oven temperature, an inspector reads the temperature at four different places inside the oven each half hour starting at 8:00 a.m. The last reading was at 10:30 a.m., for a total of six samples. The first reading, taken at 8:00 a.m., was 343 degrees Fahrenheit. (Only the last two digits are given in the following table to make the computations easier.) Reading Time 1 3 4 8:00 a.m. 43 44 46 39 8:30 a.m. 48 64 49 35 9:00 a.m. 42 41 44 40 9:30 a.m. 43 37 46 49 10:00 a.m. 45 49 40 41 10:30 a.m. 47 44 36 36 I Click here for the Excel Data File a. On the basis of this initial experience, determine the control limits for the range. (Leave no cells blank - be certain to enter "0" wherever required. Round your intermediate calculations and final answers to 2 decimal places.) LCL UCL b. For each time period, is the temperature out of control? 8:00 a.m. 8:30 a.m. 9:00 a.m. 9:30 a.m. 10:00 a.m. 10:30…

A new industrial oven has just been installed at Piatt Bakery. To develop experience regarding the oven temperature, an inspector reads the temperature at four different places inside the oven each half hour starting at 8:00 a.m. The last reading was at 10:30 a.m., for a total of six samples. The first reading, taken at 8:00 a.m., was 340 degrees Fahrenheit. (Only the last two digits are given in the following table to make the computations easier.) Time 8:00 a.m. 8:30 a.m. 9:00 a.m. 9:30 a.m. 10:00 a.m. 10:30 a.m. 1 40 44 41 39 37 39 Reading 2 50 42 45 39 42 40 3 55 38 47 41 46 39 Click here for the Excel Data File 4 39 38 43 41 41 40

The percentage of ideal body weight was determined for 18 randomly selected insulin-dependent diabetics. ASSUME these 18 individuals represent a population. The outcomes are in percent:​107​ 119​ 99​ 114​ 120​ 104​ 124​ 88​ 114 116​ 101​ 121​ 152​ 125​ 100​ 114​95​ 117 • Determine the population mean and standard deviation for these data. Determine the mean and std. error for all samples of size 6 taken from this population:

We selected a random sample of size 200 from a pool of university students and asked whether they use Facebook on a regular basis. Eighty replied yes. What would be your estimation of the standard error of the sample proportion of regular Facebook users based upon the given information?