What is the correct answer?

In Ms. Chance's first period class, there are 9 students with hazel eyes, 10 with brown eyes, 7 with blue eyes, and 2 students w

MA_775_DIABLO [31]

Brown eyes because most students have brown eyes. It would be less likely to get a student with blue or green eyes.

5 0

2 years ago

In a soccer game, Sally kicks the ball to a teammate who is on the other side of the field. The ball's height h (in feet above t

Katena32 [7]

Answer: 0

Step-by-step explanation:

h ( t ) = − 2 t ^2 + 10 t

h = height of ball above the ground

t = time, seconds after ball was kicked

Height of ball at the time it is kicked?

At the time ball is kicked, time (t) = 0

Therefore,

h ( t ) = − 2 t ^2 + 10 t

h( 0) = - 2(0)^2 + 10(0)

h = 0 + 0

h = 0

The ball was the on the grounf at the time it was kicked.

6 0

2 years ago

Please help meeeeeee!!!!!

Tasya [4]

Answer: A

Step-by-step explanation:

This is because 25%= 25/100, and that reduces to 1/4. Also, whenever it says something OF something, it means to multiply. In this case, 1/4 OF 1000= 1/4x1000= 250.

*Even though it seems that multiplying will just make the number bigger, when you multiply with a fraction, it actually gets smaller* For example 1/3 of 3= 1/3x3= 1

8 0

1 year ago

Read 2 more answers

Carlos kicks a ball into the air. The function that models the scenario is f(t)= -16t^2+ 96t

gregori [183]

Check the picture below

thus $\bf 0= -16t^2+ 96t\impliedby \textit{hits the ground}$

solve for "t"

4 0

2 years ago

1. Suppose you have a variable X~N(8, 1.5). What is the probability that you have values between (6.5, 9.5)

Natalija [7]

Answer:

0.6826 = 68.26% probability that you have values in this interval.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

X~N(8, 1.5)

This means that $\mu = 8, \sigma = 1.5$