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- how many trucks carried only late peaches, only extra late peaches, only one type of peach and how many trucks (in all) went out during the week, use venn diagram. Toward the middle of the harvesting season, peaches for canning come in three types, early, late, and extra late, depending on the expected date of ripening. During a certain week, the data to the right were recorded at a fruit delivery station. Complete parts (a) through (d) below. 30 went out carrying early peaches 63 carried late peaches; 53 carried extra late peaches; 20 carried early and late; 26 carried late and extra late; 5 carried early and extra late; 2 carried all three; 6 carried only figs (no peaches at all).5Example 14 : In a state election in year 2002 there were three major parties X, Y, Z fighting for the claim of Chief Minister ship. The chances of winning the election of the 3 parties are in the ratio 1 :2 : 3 respectively. The probability that the party X if selected, will introduce total arrack prohibition in that state is 1/2. The probability that the party Y if selected, will introduce total arrack prohibition in the state is 1/4 and the prohibition that the party Z if selected, will introduce total arrack prohibition in the state is 3/4. What is the probability that there will be a total prohibition in the state after the election in year 2002.
- The following two-by-two table was created from the data. TROUBLE STAYING ASLEEP [outcome] TROUBLE FALLING ASLEEP[predictor] Yes No TOTAL Yes 65 40 105 No 51 110 161 TOTAL 116 150 266 Let TP denote True Positive cases. Let TN denote True Negative cases. Let FP denote False Positive cases. Let FN denote False Negative cases. Trouble staying asleep (outcome) Yes No Trouble falling asleep (predictor) Yes TP FN No FP TN What is the positive predictive value of the predictor variable for the outcome? What is the negative predictive value of the predictor variable for the outcome? Which predictive value (negative or positive) is higher? What proportion of participants have trouble falling asleep and staying asleep? What is the prevalence of “Trouble staying asleep” among study participants?Example 1 : Find the probability of drawing 2 red balls in succession from a bag containing 4 red and 5 black balls when the ball that is drawn first is (i) not replaced (ii) replaced.Section 5.3 Step 1 of 2 : What is the probability that she selects a non-physics major, given that she chooses randomly from only the freshmen? Enter a fraction or round your answer to 4 decimal places, if necessary. Step 2 of 2 : What is the probability that she selects a junior, given that she chooses a physics major? Enter a fraction or round your answer to 4 decimal places, if necessary.
- Please fill in the blanks. im stuck. last guy who answered this question for me was wrong.ange of Pla x C ■ Bb Probability que X Bb Statistics and p X X learn-eu-central-1-prod-fleet01-xythos.content.blackboardcdn.com/60d4531e78936/3438094?X-Blackboard-S3-Bucket-learn-eu-central-1-prod-fle... Probability question sheet N Netflix Esc FnLock b) less than three are damaged. a) all 15 will pass b) none will pass and c) at least 12 will pass. A Z -- Q I 0. The probability of passing an exam is 0.7. Out of 15 students, evaluate the probabilities that Type here to search F1 11. Determine the probabilities of having (a) at least 1 girl and (b) at least 1 girl and 1 boy in 23:12 23/04/2023 Alt 11 X 2 S W X AI F2 Vectors.pdf www 3 43 ww A+ F3 E с F4 4 et V 0 - F5 2/4 | % 5 G 0+ F6 B - Y H & 7 N 200% + @ F8 U J 00* 8 Bb Probability que X W F9 M K * F10 61 ( 9 Alt Gr L 6°C O Δ· F12 2 Probability PX + P 117 PrtSc Home [ 6 Ctrl End +11 } J ENG Insert ( # + PgUp K DeleteSuppose that we have a data set of college students. This data set includes whether each student graduated with honors and whether the same student went to graduate schools to pursue a PhD degree. Assume that P({Graduate w/ honors} ∩ {Pursusing PhD}) = P({Graduate w/ honors}) x P({Pursuing PhD}) Pursu PhD Not Pursu PhD Total Grad w/ honors x1 x2 0.25 Grad w/o honors x3 x4 0.75 Total 0.20 0.80 What is (x1 + x4) - (x2 + x3) 0.20 0.25 0.30 0.35 What is P({Graduate w/ honors} | {Pursuing PhD})? 0.20 0.25 0.50 0.75
- Question 2) Waiting Line Analysis A customer service desk with 1 worker is able to process an average of 9 customer inquiries per hour. An average of 6 customers arrive for help at the desk each hour. c) What is the average time required to serve a customer (in minutes)? d) What is the probability that more than 2 customers will arrive in the next hour?Example 8.15 Suppose we have an urn containing ten balls of different colours such that 2 balls are red and dotted 1 ball is green and dotted 4 balls are red and striped 3 balls are green and striped What is the probability of drawing any particular ball from this urn?Suppose that on any given day, there is a 20% chance that Lebron has a bad day, a 50% day that Lebron has a so-so day, and a 30% chance that Lebron has a good day. On a bad day, the probability that Lebron makes any given 3-point shot is 0.5. On a so-so day, the probability that Lebron makes any given 3-point shot is 0.7. On a good day, the probability that Lebron makes any given 3-point shot is 0.9. Suppose that tomorrow, Lebron takes a 3-point shot, and we record whether he hits or misses and what kind of day he was having. What is the probability that Lebron hits? What is the probability that if Lebron is having a bad day given that he misses a shot that day?