Answer:
Explanation:
Distribution curve:
The distribution curve for this data set would be a normal distribution, as the data is approximately symmetrical and the mean is close to the center of the data. The mean of the data is 518, and 6 standard deviations from the mean would be:
Lower limit: 518 - (6 x standard deviation)
Upper limit: 518 + (6 x standard deviation)
To calculate the standard deviation, we first need to calculate the variance:
Variance = ∑(xi - μ)^2 / N
Where xi represents each value in the data set, μ is the mean, and N is the total number of values.
Using the values given, we can calculate the variance:
Variance = [(342 - 518)^2 + (518 - 518)^2 + (535 - 518)^2 + (605 - 518)^2] / 4
= 24,270
The standard deviation is the square root of the variance:
Standard deviation = √24,270
= 155.8
Therefore, the lower limit of the distribution curve would be 518 - (6 x 155.8) = 218.4, and the upper limit would be 518 + (6 x 155.8) = 817.6.