The heights of adult females are normally distributed. If you were to construct a histogram of 40 randomly selected women, what shape would the histogram of those heights have and what pattern would you expect in a normal quantile plot of these data? a. The histogram would by approximately bell-shaped, and the normal quantile plot would have data points that would be bell-shaped.
b. The histogram would by non-symmetric, and the normal quantile plot would have data points that would be non- linear.
c. The histogram would by approximately bell-shaped, and the normal quantile plot would have data points that would be non-linear.
d. The histogram would be approximately bell-shaped, and the normal quantile plot would have data points have follow a straight-line pattern.

d. The histogram would be approximately bell-shaped, and the normal quantile plot would have data points have follow a straight-line pattern.

Step-by-step explanation:

Since the variable is normally distributed, the histogram of women's height should be approximately bell shaped (if the data was obtained form a random sample).

Again, the variable is normally distributed, therefore, the quantile plot should follow a straight line pattern (a diagonal line to be more precise).

d) by the cross product property, ab^2 = bc multiplied by ad

step-by-step explanation:

we are given

in the given triangle abc

angle a is 90° and segment ad is perpendicular to segment bc

we can see that

triangle(abc) and triangle(abd) are similar because they have common side and same angle (90 degree)

so, triangles(abc) and abd are similar

since, they are similar

so, the ratio of their sides must be equal

we get

now, we can cross multiply

and we get

so, this could be step to prove it

answer:   35 % is the probability of a late departure or an early arrival.

step-by-step explanation:

let l represents the late departure and e represents the early departure.

then, according to the question,

p(l) = 12 %,   p(e) = 27 % and = 4 %

and, we have to find out,

but, we know that,

which is the required equation that will use to find the probability of a late departure or an early departure.

therefore,   the probability of a late departure or an early arrival =   35 %