A bank examiner's record shows that the probability of an error in a statement fo a checking account at Trust Us Bank is 0.03. The bank statements are sent monthly. What is the probability that exactly two of the next 12 monthly statements for our account will be in error? Now use the cumulative probability option to find the probability that at most two of the next 12 statements contain errors. Use this result with subtraction to find the probability that more than two of the next 12 statements contain errors.
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
 alt="Question 2
A bank examiner's record shows that the probability of an error in a statement for
a checking account at Trust Us Bank is 0.03. The bank statements are sent
monthly. What is the probability that exactly two of the next 12 monthly
statements for our account will be in error? Now use the cumulative probability
option to find the probability that at most two of the next 12 statements contain
errors. Use this result with subtraction to find the probability that more than two
of the next 12 statements contain errors.
Your Answer:
X-B(0.03,12)
P(x-12)
P(x-12)3D0
P(error)= P3D0.03
n=12
X= no statement of error
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Question 3
Some tables for the binomial distribution give values only up to 0.5 for the
probability of success p. There is symmetry to the values for p greater than 0.5
with those values of p less than 0.5.
• Consider the binomial distribution withn= 10 and p = .75. Since there are 0-
10 successes possible, put 0 - 10 in L1. Use probability option (binompdf)
with L1 and store the distribution probabilities in L2.
• Now consider the binomial distribution with n = 10 and p = .25. Use
probability option (binompdf) with L1 and store the distribution probabilities
in L3.
• Now make a table that displays L1, L2,and L3 and see if you can discover the
symmetries of L2 with L3. For example, how does P(K = 4 successes with p =
.75) compare to P(K = 6 successes with p = .25)?
Your Answer:
X-B(10, .75)
P(x-.75)
P(x- .75)= 1
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