Event 3: Roll die #1, then roll die #2.The possible outcomes are listed below. This organized listing is called the(pemisa)(ecpas).C.a.Let A = the first die is an odd numberLet B= the second die is a number greater than 2b. Find P(A)Find P (B)d. Does the outcome of the first die affect the second die?Therefore, we say that events A & B areevents.e. Multiply P (A) by P (B).Dieg. Does P(An B) = P(A) * P(B)?Die12 31234FOODA123456335 NThis confirms that A & B are4STEFAN SIGES4MARES534566 76 7 878 9JSG∞a6 777 8 96f. Look at the sample space and find P (A and B). This means the same thing as P(An B).68Pro8La S9 1010 1110 11 12Quick Rev• P(AnP(A

Given Die#1Die #2 1 2 3 4 5 6 1 2 3 4 5 6 7 2 3 4 5 6 7 8 3 4 5 6 7 8 9 4 5 6 7 8 9 10…

Answered: Event 3: Roll die #1, then a. 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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K Suppose that a random sample of 100 men between the ages of 25 and 54 was selected and it was found that 85 were currently working. A similar sample of 100 women was selected and 70 were working. Complete parts a and b below.
A probability experiment is conducted in which the sample space of the experiment is S= {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, event F = {3, 6, 7}, and event G = {9, 10, 12}. Assume that each outcome is equally likely. List the outcomes in F or G. Find P(F or G) by counting the number of outcomes in F or G. Determine P(F or G) using the general addition rule. %3D List the outcomes in F or G. Choose the correct answer below. О А. For G%3 {3, 6, 7, 9, 10, 12} B. For G= {3, 6, 7} C. For G= {9, 10, 12} D. For G= {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12} Find P(F or G) by counting the number of outcomes in F or G. P(F or G) = (Type an integer or a simplified fraction.) Determine P(F or G) using the general addition rule. P(F or G) = (Type an integer or a simplified fraction.) %D
Q1) Below find the records of 12 randomly selected used pickup trucks (none used commercially) and 11 randomly selected used passenger cars, the time (in years) that they were kept by the original owner before being sold: Used pickup trucks | 3 | 2.5 2.9 5 4.2 3.1 3.3 4 5.3 3.8 4.5 Used passenger cars | 2.2 3 2.8 4.3 4 3.3 2.9 2.1 2 3.1 3 It is known that the standard deviation of used pickup trucks is 2 years and of used passenger cars is 1 year. (a) Investigate, at the 5% significant level, whether the mean time (in years) that used pickup trucks were kept by the original owner before sold is larger than used passenger cars. (b) What assumption is needed to perform the test in (a). (c) Construct the 96% confidence interval for the mean difference of time (in years) were kept by the original owner before sold between used passenger cars and used pickup trucks. Use this confidence interval to tell whether there is difference in the mean time (in years) between these 2 tynes of…
2. Teachers want to know which night each week their students are doing most of their homework. Most teachers think that students do homework equally throughout the week. Suppose a random sample of 56 students were asked on which night of the week they did the most homework. The results were distributed as in the table below. Number of Students Sunday Monday Tuesday Wednesday Thursday Friday 11 5 8 10 7 10 Saturday 5 From the population of students, do the nights for the highest number of students doing the majority of their homework occur with equal frequencies during a week? What type of hypothesis test should you use? (You must justify your answer with a complete hypothesis test and an explanation, within context, using complete sentences.)
Inside a bag, there are 5 quarters, 2 nickels, and 4 dimes. Two coins are randomly drawn without replacement. Calculate the probability of drawing one quarter and one dime. The tree diagram has been started below.
Look at the 4 probability rules beow , an provide a REAL LIFE example for each. Also, with a Real LIfe EXAMPLE, explain how Disjoint events CAN be dependent. Rule 1. The probability P(A) of any event A satisfies 0 ≤ P(A) ≤ 1. Rule 2. If S is the sample space in a probability model, then P(S) = 1. Rule 3. Two events A and B are disjoint if they have no outcomes in common and so can never occur together. If A and B are disjoint, P(A or B) = P(A) + P(B) This is the addition rule for disjoint events. Rule 4. For any event A, P(A does not occur) = 1 − P(A)
Let A and B be events in a sample space S such that P(A) = 21/100, P(B) = 2/5, and P(AB) = 13/100. Find P( B | Ac ). A) 0.3148 B) 0.5250 C) 0.5063 D) 0.1646 E) 0.6750
Sheet1 (+) Ready 100% rom the sample space S={1, 2, 3, 4,., 15} a single number is to be selected at random. Given event A, that the selected number is even, and event C, that the elected number is a prime number, find P(A and C). P(A and C) = (Simplify your answer. Type an integer or a fraction.) %3D 65 F
ther between 25 and 54, inclusive, or at least 35. below. pability that a person chosen is at least 35, then subtract from the sum the probability that the pe that by the total number of people. he probability that a person chosen is at least 35. ide that by the total number of people. Frequency of Naturalized Persons by Age Bracket kɔuanbas (ak) oby Age (yr) Frequency 18-19 20-24 25-29 30-34 35-39 960'9 49,763 45-49 40,307 31,004 26,513 15,505 23,548 10,504 50-54 56,624 63,898 55-59 9-09 68,940 56,638 65-74 75 & over 40-44 Print Done
Bus wait times are uniformly distributed between 9 minutes and 28 minutes. The unshaded rectangle below with area 1 depicts this. The shaded rectangle depicts the probability that a randomly selected bus wait time will be between 18 and 26 minutes. Give answers to the following questions in fraction form. 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 The base of the shaded rectangle is The height of the rectangle is The area of the shaded rectangle is Submit Question prinse video hulu ギメ N

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Event 3: Roll die #1, then a. The possible outce Let A = the first a Let B= the secon b. Find P(A) c. Find P (B) d. Does the outcome There events. e. Multiply P (A) by P (B). f. Look at the sample space a g. Does P(An B) = P(A) *