at a community event, a vendor lets attendees spin their prize wheel. the wheel consists of 5 colored sections that the vendor claims to be equally likely . one of the sections is labeled "winner!" a diligent observer records the outcome of 75 spins. Let X= the number of spins that results in a win. Use this normal distribution to calculate the probability that at most 10 of the spins result in a win
at a community event, a vendor lets attendees spin their prize wheel. the wheel consists of 5 colored sections that the vendor claims to be equally likely . one of the sections is labeled "winner!" a diligent observer records the outcome of 75 spins. Let X= the number of spins that results in a win. Use this normal distribution to calculate the probability that at most 10 of the spins result in a win
at a community event, a vendor lets attendees spin their prize wheel. the wheel consists of 5 colored sections that the vendor claims to be equally likely . one of the sections is labeled "winner!" a diligent observer records the outcome of 75 spins. Let X= the number of spins that results in a win. Use this normal distribution to calculate the probability that at most 10 of the spins result in a win
at a community event, a vendor lets attendees spin their prize wheel. the wheel consists of 5 colored sections that the vendor claims to be equally likely . one of the sections is labeled "winner!" a diligent observer records the outcome of 75 spins. Let X= the number of spins that results in a win. Use this normal distribution to calculate the probability that at most 10 of the spins result in a win
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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