Continuous random is a is by measuring.Examples:1. The amount of time required to complete a project.2. The amount of rain, in inches, falls in a storm.3. The height of children4. The amount of times it takes to sell shoesII. Learning Competencles:a random varlable (M11/12SP-IIla-1)Illustrate h between a discrete and a continuous random variable (M11/12SP-Illa-2)Find the possible values of a random variable (M11/12SP-Illa-3)II. Exercises/ActivityActivity 1CLASSIFY MEDirections: Classify the following random variables as discrete or continuous.1. The number of defective computers produced by a manufacturer in a certainschool2. The weight of new born each year in a hospital3. The number of siblings in a family of a region4. The amount of paint utilized in a classroom building project of BNHS5. The number of dropout in a school district for a period of 10 years6. The speed of a car7. The numbers of female athletes of the Sports track8. The time needed to finish the test9. The amount of sugar in a cup of coffee10. The number of people who are playing LOTTO each dayTHINK & REFLECT:How do you know whether a random varlable is continuous or discrete?What is the difference between continuous and discrete random variables?

There are two types of variables, one is quantitative and second is qualitative. The quantitative…

Answered: Directions: Classify the following…

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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Answer the following questions on a separate sheet of paper. 1. Determine if each of the following situations illustrates a continuous random variable or not. weight of a randomly selected grade 11 student a. b. number of Filipino people who will vote in the next national election fastest speed of a randomly selected car racer in a car racing competition С. d. a farmer's record of the number of mongo seeds in a sack
A company produces 10,000 plastic papers per day. This company supplies papers to a shops which sells them in packs of 10 cups per pack. If less than two of a randomly selected pack (of 10 cups) from the order are defective, the shop accepts the whole order. The proportion of defective papers produced by the manufacturing company is 10%. Let ? be the random variable representing the number of defective cups in a pack. i. Identify the type of distribution being described in this question and write down the value/s of its parameter/s. ii. What is the probability that the order will be accepted?
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
b. Let X1, X2, X3, and X4 represent the weight of shipment packages at a certain shipment facility. Suppose they are independent normal random variables with means H1 = 3.6, 42=0.9, 3= 1.8, 4 = 7.4 pounds and variances o = = = Find P (2X₁ + 1X2 + 3X3 + 1X4 ≤ 17.6). = 1.
4-10 only
Part 1 of 6 Determine whether the following value is a continuous random variable, discrete random variable, or not a random variable. a. The number of light bulbs that burn out in the next year in a room with 13 bulbs b. The hair color of adults in the United States c. The number of pigeons in a country d. The time it takes for a light bulb to burn out e. The number of free-throw attempts before the first shot is missed f. The number of people in a restaurant that has a capacity of 150 ..... a. Is the number of light bulbs that burn out in the next year in a room with 13 bulbs a discrete random variable, continuous random variable, or not a O A. It is a discrete random variable. O B. It is a continuous random variable. O C. It is not a random variable.
Which of the following random variable follows a continuous distribution? A. The outcome of rolling a die. B. The outcome of flipping a coin C. Next year's demand which is assumed to have 5 possible outcomes. D. A person's hight.

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Directions: Classify the following random variables as discrete or continuous. 1. The number of defective computers produced by a manufacturer in a certain school 2. The weight of new born each year in a hospital 3. The number of siblings in a family of a region