5 out of 10
Sounds like a 100% chance of passing school.
The problem as I understand it is the examinee must pass test 1 and test 2 and test 3. Therefore, the probability of passing all 3 exams is .8*.8*.8 = 0.512.
The probability of getting all 10 questions right is, P(10) =(1/2)10 =0.0009765...9 questions right, P(9) =10C9 ∙(1/2)10 =10∙(1/2)10 ~ 0.009765...8 questions right, P(8) =10C8 ∙(1/2)10 ~ 45∙(1/2)10 ~ 0.043945...7 questions right, P(7) =10C7 ∙(1/2)10 ~ 120∙(1/2)10 ~ 0.1171875...The probability of passing the test with any of the grade is the sum of all theabove; P(passing)~ 0.1719 ~ 17.2%
Yes, 85th percentile is a passing mark.
A person who wants to be an actuary would have working knowledge of mathematics-including calculus, probability, and statistics-and has demonstrated this knowledge by passing one or two actuarial exams required for professional designation. A degree in finance, mathematics and business would help build the skills needed for success in the field.
Mendel figured much of the basic probability out.
unknown
It can embarras you alot.
It is approx 0.8312
It depends on what is passing. If 60% is passing, you need 60 correct answers. If 65% is passing, you need 65 correct answers. If 70% is passing, you need 70 correct answers.
Sounds like a 100% chance of passing school.
To pass a 65-question test, the number of questions you can miss typically depends on the passing percentage set by the test administrator. For example, if the passing rate is 70%, you can miss up to 19 questions and still pass (0.7 x 65 = 45 correct answers). However, if the passing rate is higher, you'll need to miss fewer questions. Always check the specific passing criteria for the test in question.
Poisson distribution shows the probability of a given number of events occurring in a fixed interval of time. Example; if average of 5 cars are passing through in 1 minute. probability of 4 cars passing can be calculated by using Poisson distribution. Exponential distribution shows the probability of waiting times between occurrences of events. If we use the same example; probability of a car coming in next 40 seconds can be calculated by using exponential distribution. -Poisson : probability of x times occurrence -Exponential : probability of waiting times between events.
an optimistic one
Fluffy Toot Passing Gas you guys are all so imature if you ask this question
No
Of the options given in the question, 'A' would be correct.