Assume that Fancy Shoe Warehouse has 500 pairs of women's shoes in stock. The distribution of the women's shoe sizes is approxim
ately normal. The average size of the women's shoes is size 8, with a standard deviation of size 4. Suppose that a random sample of 250 pairs of shoes are selected. What can be assumed about the distribution of the sample mean? The distribution of the sample mean is skewed by the mean distribution theorem.
The distribution of the sample mean is approximately normal by the mean distribution theorem.
There is not enough information to make assumptions regarding the distribution of the sample mean.
The distribution of the sample mean is approximately normal by the central limit theorem.
The distribution of the sample mean is non-normal by the central limit theorem.
(a) 4 <span>(b) y = sqrt(9 - (9/16)x^2) </span>The most accurate assumption for the equation based on the general format for an ellipse is: [[TAG_3]]x^2/16 + y^2/9 = 1 [[TAG_4]](a). An ellipse is symmetrical along both its major and minor axes. Thus, if you can calculate the area of the ellipse in one quadrant, multiplying that area by 4 will yield the total area of the ellipse, confirming the factor of 4 is accurate. [[TAG_5]] (b). The standard equation for an ellipse doesn't adequately represent a general function as it results in two y values for each x value. However, if we constrain ourselves to the positive square root, that issue can be resolved easily. Here’s how: [[TAG_6]] x^2/16 + y^2/9 = 1 [[TAG_7]] x^2/16 + y^2/9 - 1 = 0 [[TAG_8]] x^2/16 - 1 = - y^2/9 [[TAG_9]] -(9/16)x^2 + 9 = y^2 [[TAG_10]] 9 - (9/16)x^2 = y^2 [[TAG_11]] sqrt(9 - (9/16)x^2) = y [[TAG_12]] y = sqrt(9 - (9/16)x^2)
