0.86 0.85 0.84 0.78 0.75 0.76 0.82 0.88 0.94 0.74 0.71 0.84 0.99 0.99 0.72 0.87 The following data represent the weights (in grams) of a random sample of 50 candies. 0.82 0.72 0.94 0.87 0.95 0.82 0.77 0.77 0.82 0.84 0.81 0.92 0.78 0.81 0.93 0.86 0.85 0.82 0.96 0.81 0.84 0.76 0.85 0.84 0.88 0.72 0.91 0.72 0.84 0.82 0.87 0.92 0.91 0.84 a) Determine the sample standard deviation weight. =- gram Round to two decimal places as needed.)

The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages. 1.6 2.4 1.2 6.6 2.3 0.0 1.8 2.5 6.5 1.8 2.7 2.0 1.9 1.3 2.7 1.7 1.3 2.1 2.8 1.4 3.8 2.1 3.4 1.3 1.5 2.9 2.6 0.0 4.1 2.9 1.9 2.4 0.0 1.8 3.1 3.8 3.2 1.6 4.2 0.0 1.2 1.8 2.4   (a) Use a calculator with mean and standard deviation keys to find x and s. (Round your answers to four decimal places.) (b) Compute a 90% confidence interval for the population mean ? of home run percentages for all professional baseball players. Hint: If you use the Student's t distribution table, be sure to use the closest d.f. that is smaller. (Round your answers to two decimal places.) (c) Compute a 99% confidence interval for the population mean ? of home run percentages for all professional baseball players. (Round your answers to two decimal places.) (d) The home run percentages for three professional players are below.…

An article gives the price-an estimated average for a 6-ounce can or a 7.06-ounce pouch-for 14 different brands of water- packed light tuna, based on prices paid nationally in supermarkets. 1.00 1.91 1.23 0.87 0.67 0.53 1.41 1.12 0.61 0.66 0.70 0.61 0.60 0.68 (a) Find the average price for the 14 different brands of tuna. (Round your answer to two decimal places.) $ (b) Find the median price for the 14 different brands of tuna. $ (c) Based on your findings in parts (a) and (b), do you think that the distribution of prices is skewed? Explain. More information is needed to determine skewness. O Since the mean is larger than the median, the distribution is skewed to the right. O Since the median is larger than the mean, the distribution is skewed to the left. O Since the mean and median are equal, the distribution is not skewed.

The table below shows the frequency distribution of the weights (in grams) of pre-1964 quarters. Weight (g) 6.000-6.049 6.050-6.099 6.100-6.149 6.150-6.199 6.200-6.249 6.250-6.299 6.300-6.349 6.350-6.399 Frequency 2 1 3 8 11 11 6 5 1 Use the frequency distribution to construct a histogram. Does the histogram appear to depict data that have a normal distribution? Why or why not? O A. OB. O C. ouenbel Frequency 10- Aauenbes; 6 15 5- 0 6 20₁ 15- 10- 5- 0- 6 6.1 6.2 6.3 Weight (grams) 6.1 6.2 6.3 Weight (grams) 6.1 6.2 6.3 Weight (grams) 6.4 Q 6.4 5 Q Q Does the histogram appear to depict data that have a normal distribution? OA. The histogram appears to depict a normal distribution. The frequencies generally increase to a maximum and then decrease, and the histogram is roughly symmetn OB. The histogram does not appear to depict a normal distribution. The frequencies generally decrease to a minimum and then increase, and the histogram is roughly symmetric. OC. The histogram appears to…