Answer:
Part a: The probability of breaking even in 6 tosses is 0.3125.
Part b: The probability that one payer wins all the money after the 10th toss is 0.0264.
Explanation:
Part a
P(success)=1/2=0.5
P(Failure)=1/2=0.5
Now for the break-even at the sixth toss
P(Break Even)=P(3 success out of 6)
P(3 success out of 6)
So the probability of breaking even in 6 tosses is 0.3125.
Part b:
So the probability that one of the player wins all the money after the 10th toss is given as the tenth toss is given as a win so
Wins in 9 tosses is given as 9!/7!=72
The probability that the other person wins
Wins in 8 out of 10 tosses is given as 10!/8!(10-8)!=10!/8!2!=45
So the probability of all the money is won by one of the gambler after the 10th toss is given as
P=number of wins in 9 tosses-Number of wins in 10 tosses/total number of tosses
P=(72-45)/2^16
P=0.0264
So the probability that one payer wins all the money after the 10th toss is 0.0264.
Answer:
Revenue = 240000×49= 11,760,000
Variable manufacturing expense = 240000×20 = 4,800,000
Sales commission expense = 240000×8 =1,920,000
Fixed manufacturing overhead = $2,400,000
Fixed operating expenses = 245,000
Sales promotion = 140000
Profit = 2,255,000
Answer: participant observation, interviews and surveys. All of these ethnographic methods can be very valuable in gaining a deeper understanding of a design problem.
Explanation:
Answer:
increase in output, but not in the equilibrium price of the product.
Explanation:
The options weren't provided. The full question can be found here - https://www.chegg.com/homework-help/questions-and-answers/perfectly-competitive-industry-x-constant-costs-product-inferior-good-industry-currently-l-q39354625
An inferior good is a good whose demand increases when income falls and whose demand falls when income rises.
When average income falls, the demand for good X rises. The level of output increases as a result of the rise in demand but price doesn't change.
I hope my answer helps you.
Three essential <span>principles of test construction are:
1. consistency. It refers to the consistency </span><span>between the goal of the subject, course, and the methods of teaching goals. Also consistency between the methods and what the test measures. </span><span>
2. validity. Validity refers to t</span>he ability of a test to measure what it was designed to measure. It can be material od skill.
3. reliability. The <span>test must be constructed in such a way that it will produce reliable, consistent results .</span>
