Solve attached

Think about the circumstance of Exercise 2.64. Leave An alone the occasion that the segment bombs a specific

test and B be the occasion that the segment shows strain yet doesn't really fall flat. Occasion A happens

with likelihood 0.20, and occasion B happens with likelihood 0.35.

(a) What is the likelihood that the segment doesn't bomb the test?

(b) What is the likelihood that the segment functions admirably (i.e., neither presentations strain nor

bombs the test)?

(c) What is the likelihood that the part either comes up short or shows strain in the test?

Interest bases on the existence of an electronic segment. Assume it is realized that the

likelihood that the segment gets by for over 6000 hours is 0.42. Assume likewise that the

likelihood that the segment endures no longer than 4000 hours is 0.04.

(a) What is the likelihood that the existence of the part is not exactly or equivalent to 6000 hours?

(b) What is the likelihood that the life is more prominent than 4000 hours?

Strength Toys, Inc., sells an assortment of new and imaginative kids' toys. Likewise with different items, Specialty faces the choice of how may Weather Teddy units to arrange for coming Christmas season. Individuals from the supervisory crew proposed request amounts of 15,000, 18,000, 24,000, 28,000 units. The wide scope of request amounts proposed shows impressive conflict concerning the market potential. The item supervisory group request you for investigation from the stock-out probabilities for different request amounts, a gauge of the item potential, and to help make a request amount suggestion. Forte hopes to sell Weather Teddy for $24 dependent on cost of $16 per unit. On the off chance that stock remaining parts after the Christmas season, Specialty will sell all overflow stock for $5 per unit. In the wake of looking into the business history of comparative items, Specialty%u2019s deals forecaster anticipated and anticipated interest of 20,000 units with a .95 likelihood that request would be between 10,000 units and 30,000 units. Set up an administrative Report that tends to the accompanying issues and suggests a request amount for the Weather Teddy item.

Figure the likelihood of a stockout for the request amounts recommended by individuals from the supervisory crew.

77% of the light airplane that vanish while in trip in a specific nation are consequently found. Of the airplane that are found, 62% have a crisis finder, while 88% of the airplane not found don't have such a finder. Assume a light airplane has vanished. (Round your responses to three decimal spots.)

=6=

(a) If it has a crisis finder, what is the likelihood that it won't be found?

(b) If it doesn't have a crisis finder, what is the likelihood that it will be found

9. Consider the chi-square analyses we discussed in Unit 5. a. Describe how you determine expected values for a univariate chi-square test? (2 marks) b. How do you interpret a statistically significant univariate chi-square? Include formulae if needed. (5 marks) C. Describe how you determine the expected values for a bivariate chi-square test? (2 marks) d. How do you interpret a statistically significant bivariate chi-square? Include formulae if needed. (5 marks) e. Is the McNemar test a univariate or a bivariate chi-square analysis? (2 marks) Why? (2 marks) f. How do you determine the expected values for a McNemar test? (2 marks) Why are the expected values derived in this way? (3 marks) g. How is a statistically significant McNemar test interpreted? Include formulae if needed. (5 marks)Moving to another question will save this response. Question 21 An analysis between one independent variable and one dependent variable is known as Univariate Analysis Bivariate Analysis Moving to another question will save this response. C 26 aceThe duration of calls in minutes over a telephone line is as follows. Use Kolmogorov-Smirnov test with a = 0.05 to verify that the numbers given have an exponential distribution of A = 0.2. 1. State the hypothesis 2. Test the data by using the K-S test The duration of calls in minutes over a telephone line is as follows: 15.85 10.67 9.98 9.52 7.36 11.64 25.47 5.26 12.24 18.80 13.75 12.53 6.88 9.52 8.93 Use Kolmogorov-Smirnov test with a = 0.05 to verify that the numbers given have an Exponential Distribution with 2=0.2. a- State the hypothesis. b- Test the data by using K-S test.This assignment has three parts labeled "a" - "c" below. Complete each part of the assignment ani discussion in a Word or PDF document. Be sure to label each part to make it easy to identify. When you are nished with the assignment, submit the Word or PDF document. a. Titus Johnston's Variable Values are: SnapPercent = 96, Awards = 7, and GamesMissed = 3. How much guaranteed money does the regression iree predict that a player with Titus Johnson's prole should earn in his contract? b. Casey feels that Titus was denied an additional award in the past season due to some questionable voting by some sports media. If Titus had won this additional award, how much additional guaranteed money would the regression tree predict for Titus versus the prediction in Ma}? 0. As Casey reviews the best-pruned tree, he is conised by the leaf node corresponding to the sequence of decision rules of \"SnapPercent > 90.28, SnapPement