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Final answer:
A uniform distribution is a probability distribution where all outcomes within a specified interval are equally likely to occur. In Problem 1, the values for c and d are 2 and 6, respectively. The mean of this uniform distribution is 4, and the standard deviation is approximately 1.155. The total area under the probability density function is always equal to 1. The probability of a value more than 2.6 is 0.85, and the probability of a value between 2.9 and 4.7 is 0.45.
Explanation:
Uniform Distribution
A uniform distribution is a probability distribution where all outcomes within a specified interval are equally likely to occur. It is often used to model situations where each outcome has the same chance of happening, such as rolling a fair die or selecting a random number from a given range.
Values for c and d
In Problem 1, the uniform distribution is defined over the interval from 2 to 6. Therefore, the values for c and d are 2 and 6, respectively.
Mean of the Uniform Distribution
The mean of a uniform distribution is calculated by taking the average of the minimum and maximum values of the interval. In this case, the mean is (2 + 6) / 2 = 4.
Standard Deviation
The standard deviation of a uniform distribution can be calculated using the formula:
Standard Deviation = (d - c) / sqrt(12)
Substituting the values for c and d, we get:
Standard Deviation = (6 - 2) / sqrt(12) = 4 / sqrt(12) ≈ 1.155
Total Area
The total area under the probability density function of a uniform distribution is always equal to 1. This means that the sum of the probabilities of all possible outcomes within the interval is 1.
Probability of a Value More than 2.6
To find the probability of a value more than 2.6, we need to calculate the area under the probability density function to the right of 2.6. Since the probability density function is a horizontal line, the probability is equal to the width of the interval from 2.6 to 6, divided by the total width of the interval from 2 to 6.
Probability = (6 - 2.6) / (6 - 2) = 3.4 / 4 = 0.85
Probability of a Value Between 2.9 and 4.7
To find the probability of a value between 2.9 and 4.7, we need to calculate the area under the probability density function between these two values. Again, since the probability density function is a horizontal line, the probability is equal to the width of the interval from 2.9 to 4.7, divided by the total width of the interval from 2 to 6.
Probability = (4.7 - 2.9) / (6 - 2) = 1.8 / 4 = 0.45
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