The spinner below is spun twice. If the spinner lands on a border, that spin does not count and spin again. It is equally likely that the spinner will land in each of the six sectors. BLUE RED RED CYAN BLUE RED For each question below, enter your response as a reduced fraction. Find the probability of spinning red on the first spin and cyan on the second spin. Preview Find the probability of spinning blue on the first spin and red on the second spin. Preview Find the probability of NOT spinning blue on either spin. (Not blue on the first spin and not blue on the second spin.) Preview Get help: Video According to Masterfoods, the company that manufactures M&M's, 12% of peanut M&M's are brown, 15% are yellow, 12% are red, 23% are blue, 23% are orange and 15% are green. [Round your answers to three decimal places, for example: 0.123] Compute the probability that a randomly selected peanut M&M is not blue. Compute the probability that a randomly selected peanut M&M is blue or green. Compute the probability that two randomly selected peanut M&M's are both red. If you randomly select four peanut M&M's, compute that probability that none of them are green. If you randomly select four peanut M&M's, compute that probability that at least one of them is green. License
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.
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![According to Masterfoods, the company that manufactures M&M's, 12% of peanut M&M's are brown, 15% are yellow, 12% are red, 23% are blue, 23% are orange and 15% are green. [Round your answers
to three decimal places, for example: 0.123]
Compute the probability that a randomly selected peanut M&M is not blue.
Compute the probability that a randomly selected peanut M&M is blue or green.
Compute the probability that two randomly selected peanut M&M's are both red.
If you randomly select four peanut M&M's, compute that probability that none of them are green.
If you randomly select four peanut M&M's, compute that probability that at least one of them is green.
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