Please solve in bold: 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. You randomly select six peanut M&M’s from an extra-large bag of the candies. (Round all probabilities below to four decimal places; i.e. your answer should look like 0.1234, not 0.1234444 or 12.34%.) Compute the probability that exactly two of the six M&M’s are orange = 0.2789 Compute the probability that two or three of the six M&M’s are orange = 0.3900 Compute the probability that at most two of the six M&M’s are orange = 0.8609 Compute the probability that at least two of the six M&M’s are orange. Answer: If you repeatedly select random samples of six peanut M&M’s, on average how many do you expect to be orange? (Round your answer to two decimal places.) Answer: orange M&M’s With what standard deviation? (Round your answer to two decimal places.) Answer: orange M&M’s
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.
Please solve in bold:
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. You randomly select six peanut M&M’s from an extra-large bag of the candies. (Round all probabilities below to four decimal places; i.e. your answer should look like 0.1234, not 0.1234444 or 12.34%.)
Compute the probability that exactly two of the six M&M’s are orange = 0.2789
Compute the probability that two or three of the six M&M’s are orange = 0.3900
Compute the probability that at most two of the six M&M’s are orange = 0.8609
Compute the probability that at least two of the six M&M’s are orange.
Answer:
If you repeatedly select random samples of six peanut M&M’s, on average how many do you expect to be orange? (Round your answer to two decimal places.)
Answer: orange M&M’s
With what standard deviation? (Round your answer to two decimal places.)
Answer: orange M&M’s
![According to Masterfoods, the company that manufactures M&M’s, the distribution of colors for peanut M&M’s is as follows: 12% are brown, 15% are yellow, 12% are red, 23% are blue, 23% are orange, and 15% are green. You randomly select six peanut M&M’s from an extra-large bag of the candies. (Round all probabilities below to four decimal places; i.e., your answer should look like 0.1234, not 0.1234444 or 12.34%.)
**1. Compute the probability that exactly two of the six M&M’s are orange.**
\[ \text{Answer:} \]
**2. Compute the probability that two or three of the six M&M’s are orange.**
\[ \text{Answer:} \]
**3. Compute the probability that at most two of the six M&M’s are orange.**
\[ \text{Answer:} \]
**4. Compute the probability that at least two of the six M&M’s are orange.**
\[ \text{Answer:} \]
**If you repeatedly select random samples of six peanut M&M’s, on average how many do you expect to be orange? (Round your answer to two decimal places.)**
\[ \text{Answer:} \]
**With what standard deviation? (Round your answer to two decimal places.)**
\[ \text{Answer:} \]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0e69f753-b3fc-4bc0-b628-d4cbe17e6b1b%2F3f3ddad9-8b4f-4b31-9f20-7239b6845128%2F05lx02p_processed.png&w=3840&q=75)
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images
