The annual per capita consumption of bottled water was 34.5 gallons. Assume that the per capita consumption of bottled water is approximately normally distributed with a mean of 34.5 and a standard deviation of 11 gallons. a. What is the probability that someone consumed more than 35 gallons of bottled water? b. What is the probability that someone consumed between 25 and 35 gallons of bottled water? c. What is the probability that someone consumed less than 25 gallons of bottled water? d. 97.5% of people consumed less than how many gallons of bottled water?

a) 0.4819

b) 0.3242

c) 0.1939

d) 56.06 gallons            

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 34.5 gallons

Standard Deviation, σ = 11 gallons

We are given that the distribution of consumption of water is a bell shaped distribution that is a normal distribution.

Formula:

a) P(consumed more than 35 gallons of bottled water)

P(x > 35)

Calculation the value from standard normal z table, we have,  

b) P(consumed between 25 and 35 gallons of bottled water)

c) P(consumed less than 25 gallons of bottled water)

Calculation the value from standard normal z table, we have,  

d) We have to find the value of x such that the probability is 0.975

Calculation the value from standard normal z table, we have,  

97.5% of people consumed less than 56.06 gallons of bottled water.

(a) 0.48006

(b) 0.3251

(c) 0.19489

(d) 97.5% of people consumed less than 56 gallons of bottled water.

Step-by-step explanation:

We are given that the per capita consumption of bottled water is approximately normally distributed with a mean of 34.5 and a standard deviation of 11 gallons.

Let X = per capita consumption of bottled water

So, X ~ N()

The z score probability distribution is given by;

            Z = ~ N(0,1)

(a) Probability that someone consumed more than 35 gallons of bottled water = P(X > 35)

   P(X > 35) = P( > ) = P(Z > 0.05) = 1 - P(Z 0.05)

                                                   = 1 - 0.51994 = 0.48006

(b) Probability that someone consumed between 25 and 35 gallons of bottled water = P(25 < X < 35)

   P(25 < X < 35) = P(X < 35) - P(X 25)

   P(X < 35) = P( < ) = P(Z < 0.05) = 0.51994

   P(X 25) = P( ) = P(Z -0.86) = 1 - P(Z < 0.86)

                                                   = 1 - 0.80511 = 0.19489

Therefore, P(25 < X < 35) = 0.51994 - 0.19489 = 0.3251

(c) Probability that someone consumed less than 25 gallons of bottled water = P(X < 25)

     P(X < 25) = P( < ) = P(Z < -0.86) = 1 - P(Z 0.86)

                                                   = 1 - 0.80511 = 0.19489

(d) We have to find that 97.5% of people consumed less than how many gallons of bottled water, which means ;

    P(X < x) = 0.975

    P( > ) = 0.975

    P(Z > ) = 0.975

Now in the z table the critical value of X which have an area less than 0.975 is 1.96, i.e.;

            = 1.96

         - 34.5 =

                   = 34.5 + 21.56 = 56.06 ≈ 56 gallons of bottled water

So, 97.5% of people consumed less than 56 gallons of bottled water.

2.

according to newton’s cannonball model, what happens if the cannonball's velocity is enough to overpower the pull of earth’s gravitystep-by-step explanation:

4a. is 3 miles every hour

4b. is 1/3 of an hour per mile

step-by-step explanation: