What's MoreIndependent Assessment 1.Classify the following random variables as discrete or continuous.1. the speed of a tricycle.2. the number of female students.3. the time needed to finish the module.4. the amount of sugar in a cup of coffee.5. The number of defective mobile phones produced by a manufacturer.Independent Activity 2.Determine whether each of the following experiments/situations involve a discreterandom variable or a continuous random variable.1. choosing an even number less than 1502. gathering information about the average monthly electric consumption in acertain household3. tallying the number of family in a certain barangay that have one child

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Answered: Independent Assessment 1. Classify the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1. Consider the relationship between the number of bids an item on eBay received and the item's selling price. The following is a sample of 5 items sold through an auction. Price in 110 130 150 160 190 Dollars Number 10 of Bids Answer: 11 15 19 20 Calculate the correlation coefficient, r. Round your answer to three decimal places.
A. Classify each random variable as discrete or continuous. 1. X: Number of women among 20 newly hired teachers 2. Y: Height (in centimeters) of a 30 randomly selected adult males 3. Z: Number of car accidents among 8 selected cities 4. A: Amount of rainfall (in millimeters) in different cities in Metro Manila 5. B: Number of gifts received by 20 students during Christmas season
Give the percent of scores between the mean and the z-value of normally distributed random variable. a 1) 1.25
1. Identify if the following scenarios describe a discrete or continuous random variable. Explain your choice. (a) X = The number of persons in an emergency room 181screte (b) W = The weights of delivery trucks at a supermarket. Lconinaas (c) H= The areas of houses being built in a new subdivision. 2. Faith is a 95% free throw shooter. At practice, each player shoots 20 free throws. L X the number of free throws Faith makes out of 20 shots. (a) Explain why X is a binomial random variable. (b) Calculate the mean of X. (c) Calculate the standard deviation of X. (d) Use the binomial probability formula to find P(X = 19). Interpret this value in context. (e) Her coach says that he will let the team out of practice early if Faith makes 18 or me free throws. What is the probability that practice ends early? Show your work. 2017 BFW Publishers Starnes/Tabor Statistics and Probability with Applications 3/e
2. In a population it is estimated that 20% have a desired trait of interest for the researcher. The researcher wants to know how many people on average he has to draw from a population to get 2 people with the trait. Use rows 20-24 of the Random Number Table to carry out the simulation. Explain clearly how you set up the problem and report your findings. Answer:
A random variable which can take any value in an interval is called a a. continuous random variable. O b. discrete random variable. O c. statistic. O d. outcome.
3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…
← Jamison Kovach Supply Company manufactures paper clips and other office products. Although inexpensive, paper clips have provided the firm with a high margin of profitability. Sample size is 200. Results are given for the last 10 samples. Sample Defectives 1 UCL 5 = 2 7 3 2 4 6 5 6 6 5 b) Has the process been in control? Based on the developed control limits, the number of defectives has been IN-CONTROL c) If the sample size were 100 instead, how would your limits and conclusions change? 7 5 The type of control chart that is best to monitor this process is p-chart a) Establish the control limits to include 99.73% of the random variation in defectives. UCL, = 0.059 (enter your response as a number between 0 and 1, rounded to three decimal places) LCLp = 0 (enter your response as a number between 0 and 1, rounded to three decimal places) 8 5 9 2 (enter your response as a number between 0 and 1, rounded to three decimal places) 10 11
Determine whether the value is a discrete random variable, continuous random variable, or not a random variable. a. The time required to download a file from the Internet b. The number of fish caught during a fishing tournament c. The response to the survey question "Did you smoke in the last week?" d. The distance a baseball travels in the air after being hit e. The number of hits to a website in a day f. The time it takes for a light bulb to burn out a. Is the time required to download a file from the Internet a discrete random variable, a continuous random variable, or not a random variable? C O A. It is a continuous random variable. O B. It is a discrete random variable. O C. It is not a random variable. b. Is the number of fish caught during a fishing tournament discrete random variable, a continuous random variable, or not a random variable? O A. It is a continuous random variable. O B. It is a discrete random variable. O C. It is not a random variable c. Is the response to the…
Determine whether the following value is a continuous random variable, discrete random variable, or not a random variable. a. The number of home runs in a baseball game b. The last book a person in City A read c. The number of textbook authors now eating a meal d. The time it takes for a light bulb to burn out e. The square footage of a pool
Determine whether the value is a discrete random variable, continuous random variable, or not a random variable. a. The number of hits to a website in a day b. The weight of a T-bone steak c. The gender of college students d. The number of statistics students now reading a book e. The number of textbook authors now sitting at a computer f. The number of people in a restaurant that has a capacity of 200 a. Is the number of hits to a website in a day a discrete random variable, a continuous random variable, or not a random variable? O A. It is a continuous random variable. O B. It is a discrete random variable. O C. It is not a random variable Clear all FirN check View an example Get more help - Help me solve this Copyright © 2022 Pearson Education Inc. All rights reserved. I Terms of Use | Privacy Policy I Permissions | Conta 80°F Mostly cloudy ere to search hp
Determine whether the following value is a continuous random variable, discrete random variable, or not a random variable. a. The amount of rainfall in a country in a year b. The last book a person in City A read c. The time it takes to drive from City A to City B d. The weight of a hamburger e. The number of people with blood type B in a random sample of 32 people f. The number of home runs in a baseball game a. Is the amount of rainfall in a country in a year a discrete random variable, continuous random variable, or not a random variable? O A. It is a discrete random variable. O B. It is a continuous random variable. O C. It is not a random variable. b. Is the last book a person in City A read a discrete random variable, continuous random variable, or not random variable? O A. It is a discrete random variable. O B. It is a continuous random variable. O C. It is not a random variable. c. Is the time it takes to drive from City A to City Ba discrete randoni variable, continuous random…

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