When Determining Probability...
What are some differences in determining the probabilities of an event and probabilities for events that are normally distributed ? Why are they important ?
The answer is differences between ordinary event and the event that is Normally distributed.

Regular Events:
Probability = (Number of favorable outcomes) / (Total possible outcomes)
Used for simple, discrete events (like dice rolls or coin flips)
Normally Distributed Events:
Use the bell curve (normal distribution)
Need to know mean (average) and standard deviation
Calculate probabilities using z-scores and tables/calculators
Regular probabilities work for simple, countable cases
Normal distribution handles real-world continuous data (heights, test scores, etc.)
Normal distribution lets us predict likelihoods for ranges of values, not just specific outcomes
When Determining Probability... What are some differences in determining the probabilities of an event and probabilities...
If A denotes some event, what is the notation of the complement of the event A? If P(A) is 0.995, what is the probability of the complement of A? Is the complement of A unusual? Why or why not?
Which rule of probability states that for two non-mutually exclusive events the probability of each event occurring is equal to the sum of their separate probabilities minus the probability of their joint occurrences? Bounding rule of probabilities Restricted multiplication rule of probabilities General addition rule of probabilities Restricted addition rule of probabilities
The probability of event A=0.15 and event B=0.25, what is the probability of A and B both occuring? a. 0.15*0.25=0.0375 b. 0.15+0.25 = 0.40 c. Can't tell because we don't know if A and B are independent events
O PROBABILITY Probabilities involving two mutually exclusive events Events A and B are mutually exclusive. Suppose event A occurs with probability 0.03 and event B occurs with probability 0.02. a. Compute the probability that A does not occur or B does not occur (or both). b. Compute the probability that neither the event A nor the event B occurs. (If necessary, consult a list of formulas.) 6 2
Explain why −0.41 cannot be the probability of some event. a. A probability proportion must be greater than one. b. A probability must be an integer. c. A probability proportion must be between zero and one.
Events A and B are independent. Suppose event A occurs with probability 0.67 and event B occurs with probability 0.70 .a. If event A or event B occurs, what is the probability that both A and B occur?b. If B does not occur, what is the probability that A occurs?
Events A and B are mutually exclusive. Suppose event A occurs with probability 0.26 and event B occurs with probability 0.29. If event A or event B occurs cor both), what is the probability that A occurs?
An initiating event of an accident occurs with a probability p(I) = 0.001. To mitigate this accident, the system is designed with three engineered safety features A, B, and C. The probability of failure of these features installed are P(A) = 0.01; P(B)= 0.005 and P(C) = 0.003. Construct the event tree to describe the system. Also calculate probabilities of failure of each of the different accident events in the event tree.
Using Probabilities for Significant Events. a. Find the probability of getting exactly 7 girls in 8 births. b. Find the probability of getting 7 or more girls in 8 births. c. Which probability is relevant for determining whether 7 is a significantly high number of girls in 10 births: the result from part (a) or part (b)
Cases in Probability
Dependence of Events
Let event A be getting a number (when
selecting one card), having digit 1 at the first
position.
Cards 101 and 110 support this
event.
Let event B be getting a number (when selecting
one card), having digit 1 at the second
position.
Cards 110 and 011 support this
event.
Let event C be getting a number (when selecting
one card), having digit 1 at the third
position.
Cards 101 and 011 support this...