48,100,000,000,000 in scientific notation is 4.81E+13.
Answer:
$412.50
Step-by-step explanation:
15% of 2750 = 0.15 × 2750 = 412.5
Answer:
1 and 3
Step-by-step explanation:
Answer:
B. N(μ, 1.30).
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a random variable X, with mean
and standard deviation
, a large sample size can be approximated to a normal distribution with mean
and standard deviation
.
In this problem, we have that:
An SRS of 25 recent birth records at the local hospital was selected. In the sample, the average birth weight was = 119.6 ounces. Suppose the standard deviation is known to be σ = 6.5 ounces.
Assume that in the population of all babies born in this hospital, the birth weights follow a Normal distribution, with mean μ.
This means that for the sampling distribution, the mean is the mean of the weight of all babies born, so
and
.
So the correct answer is
B. N(μ, 1.30).
Answer:
13.3
Step-by-step explanation:
f² = e² + g² - 2egcos(F)
f² = 9² + 18² - 2(9)(18)cos(46)
f² = 175.8974029
f = 13.26263128