Big Town Fisheries recently stocked a new lake in a city park with fish of various sizes. The distribution of the lengths of these fish is approximately normal with a mean of 8 inches and a standard deviation of 2 inches. Blank #1: Find the probability that an individual fish has a length that is greater than 10 inches. Report your answer with four decimal places. It is recommended that you draw, label and shade the distribution of the individuals to aid with your work. Blank #2: Find the probability that the mean of a random sample of 25 fish has a length that is greater than 10 inches. By Central Limit Theorem, the sample means are normal with mean 8 inches and standard deviation 2/5 or 0.4. Report your answer with four decimal places. It is recommended that you draw, label and shade the distribution of the means to aid with your work. Blank #3: Suppose the distribution of fish lengths in this lake was non-normal but had the same mean and standard deviation. Of the two probabilities you computed in blanks 1 & 2, which ones would you still be able to compute? Enter your answer as 1 or 2 or both or none. Blank # 1 Blank # 2 Blank # 3

Big Town Fisheries recently stocked a new lake in a city park with fish of various sizes. The distribution of the lengths of these fish is approximately normal with a mean of 8 inches and a standard deviation of 2 inches. Blank #1: Find the probability that an individual fish has a length that is greater than 10 inches. Report your answer with four decimal places. It is recommended that you draw, label and shade the distribution of the individuals to aid with your work. Blank #2: Find the probability that the mean of a random sample of 25 fish has a length that is greater than 10 inches. By Central Limit Theorem, the sample means are normal with mean 8 inches and standard deviation 2/5 or 0.4. Report your answer with four decimal places. It is recommended that you draw, label and shade the distribution of the means to aid with your work. Blank #3: Suppose the distribution of fish lengths in this lake was non-normal but had the same mean and standard deviation. Of the two probabilities you computed in blanks 1 & 2, which ones would you still be able to compute? Enter your answer as 1 or 2 or both or none. Blank # 1 Blank # 2 Blank # 3

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Explain the statistics measure standard deviation. Provide the formulas used to calculate the standard deviation of a sample and of a population. Explain the difference between sample and population.
please answer the question in the photo. Thank you
instructor gives a 100-point examination in which the grades are normally distributed. The mean is 66 and the standard deviation is 5. If there are 5% A's and 5% F's, 15% B's and 15% D's, and 60% C's, find the scores that divide the distribution into those categories. Round the cutoff scores to the nearest whole number. Round intermediate z-value calculations to 2 decimal places. A:_- B: C: D: --- F: _-_
Jse the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 64 miles per hour, with a standard deviation of 4 miles per hour. Estimate the percent of vehicles whose speeds are between miles per hour and 72 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately % of vehicles travel between 56 miles per hour and 72 miles per hour.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 65 miles per hour, with a standard deviation of 4 miles per hour. Estimate the percent of vehicles whose speeds are between 57 miles per hour and 73 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately % of vehicles travel between 57 miles per hour and 73 miles per hour.
Assume that the heights of women are normally distributed with a mean of 63.6 inches and a standard deviation of 2.5 inches. If 100 women are randomly selected, find the probability that they have a mean height greater than 63.0 inches. O A. 0.0082 O B. 0.8989 O C. 0.2881 O D. 0.9918 Next View Instructor Tip Calculator 809 PM 70°F Cloudy 10/8/2021 33 2 Type here to search 10/05/17 PrtSc Insert Delete AI F9 F10 F11 F12 F7 F8 F5 F6 Esc F3 F4 F1 & Backspace Num Lock C@ %23 5 7 080 3 T. Y కాం Home C Tab H. K Enter G A CapsLk 1 Shift C V N End hift PgUp Alt Ctrl End + |/ A MI 小 44
A nutritionist wants to determine how much time nationally people spend eating and drinking. Suppose for a random sample of 901 people age 15 or older, the mean amount of time spent eating or drinking per day is 1.85 hours with a standard deviation of 0.57 hour. Complete C and D.
The weight of a small Starbucks coffee is a normally distributed random variable with a mean of 415 grams and a standard deviation of 23 grams. Find the weight that corresponds to each event. (Use Excel or Appendix C to calculate the z-value. Round your final answers to 2 decimal places.) a. Highest 20 percent b. Middle 60 percent to c. Highest 80 percent d. Lowest 15 percent
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 71 miles per hour, with a standard deviation of 5 miles per hour. Estimate the percent of vehicles whose speeds are between 61 miles per hour and 81 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately ________ % of vehicles travel between 61 miles per hour and 81 miles per hour.
A balanced die with six sides is rolled 60 times. Find the mean and the standard deviation of the distribution of X. Interpret
The average sale price (online) for 4-year-old Harley Davidson touring motorcycles is approximately normally distributed with a mean of $14,000 and a standard deviation of $4000. Find the 30th percentile for the prices of this type of motorcycle.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 68 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 65 miles per hour and 71 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately nothing% of vehicles travel between 65 miles per hour and 71 miles per hour.