Answer:
0.682 is the probability that one newborn baby will have a weight within one standard deviation of the mean.
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 8 pounds
Standard Deviation, σ = 0.6 pounds
We are given that the distribution of weights of full-term newborn babies is a bell shaped distribution that is a normal distribution.
Formula:
P(weight between 7.4 and 8.6 pounds)
This could also be found with the empirical formula.
0.682 is the probability that one newborn baby will have a weight within 0.6 pounds of the mean.
Answer:
Luke will earn $ 418.50.
Step-by-step explanation:
Given that on weekends Luke gets paid $ 64.50 per hour, plus a flat rate service fee of $ 75 for every job, and on this Saturday he has three separate jobs that will take 1 1/2, 1/4, and 1 1/4 hours to complete respectively, to determine the money you will earn on the day the following calculations must be made:
(75 x 3) + (1.5 x 64.5) + (0.25 x 64.5) + (1.25 x 64.5) = X
225 + 96.75 + 16.125 + 80.625 = X
418.50 = X
So, all Saturday, Luke will earn $ 418.50.
Answer:31.42
Step-by-step explanation:
Answer:
I would say yes
Step-by-step explanation:
If I'm not right I apologize.
Answer:
The upper confidence limit of a 92% confidence interval for the population mean of grade point average is 2.93.
Step-by-step explanation:
We have that to find our 
level, that is the subtraction of 1 by the confidence interval divided by 2. So:
Now, we have to find z in the Ztable as such z has a pvalue of 
.
So it is z with a pvalue of 
, so 
Now, find the margin of error M as such
In which 
is the standard deviation of the population and n is the size of the sample.
The upper end of the interval is the sample mean added to M. So it is 2.89 + 0.04 = 2.93.
The upper confidence limit of a 92% confidence interval for the population mean of grade point average is 2.93.
