A normally distributed population has a mean of 500 and a standard deviation of 60. Determine the probability that a random sample of size 16 selected from this population will have a sample mean less than 475. A. 0.3251 B. 0.0712 C. 0.7124 D. 0.0475

The probability that this population will have a sample mean less than 475 is 0.0475

z score is used to determine by how many standard deviations the raw score is above or below the mean. It is given by:

Given that n = 16, μ = 500, σ = 60.

For x < 475:

From the normal distribution table, P(x < 475) = P(z < -1.67) = 0.0475

The probability that this population will have a sample mean less than 475 is 0.0475

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D

Step-by-step explanation:

We start out by calculating the z-score

z = (x-mean)/SD/√n

x = 475

mean = 500

SD = 60

n = 16

Substituting these;

z = (475-500)/60/√16

z = (-25)/60/4

z = -25/15

z = -1.67

So the probability we want to

calculate is P (x < -1.67)

we can use the standard normal distribution table here;

And from the standard normal distribution table;

we have P( x < -1.67) as 0.04746

which is approximately 0.0475

constant acceleration- a

constant velocity- c

no velocity or acceleration- b

explanation:

for body moving with a constant acceleration, the rate of change of displacement changes over time. this is proven by the increasing gradient of the curve (a) against time.

a body that is moving at constant velocity covers equal distances over equal periods of time, thus the straight line with a constant gradient c.

a stationary body   covers no displacement as time elapses. thus the flat line with   zero gradient.

deez nu tz

step-by-step explanation: