Answer: Parents.
Step-by-step explanation:
- In statistics , a population is a large group of similar things or members by researcher's perspective from that he/ she draw a finite subset also known as sample to follow his / her research.
Here, Sharon wants to estimate the percentage of parents that use cloth diapers.
i.e.Researcher = Sharon
Since Sharon will reach parents about her objective of whether they use cloth diapers.
So , Population = Parents
If She asks a randomly selected group of 75 parents whether or not they use cloth diapers , then Sample size is 75 .
Therefore, the population is : "Parents."
Answer:
1.14 products per hour of labor
Step-by-step explanation:
To calculate the daily productivity would be the amount of products per hour of labor.
That is: 400 products / 350 hours of labor, and that is approximately 1.14 products per hour of labor.
Which means that for every hour of labor, 1.14 products are produced in one day, which would be a factor of productivity.
<span>$36.36 because the area of the prism is 404sq. in. , 404x0.09 (for nine cents per sq. in.) = 36.36
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Hope this helps!! :)
Answer:
100x+120y = z
z= $ 63000
Step-by-step explanation:
Product Welding Assembly Painting Cont. to profit
X 2x hours 3x hours 1xhour = $100x
Y 3y hours 2y hours 1y hour = $120y
<u> </u>
Total hours 1500 hours 1500 hours 550 hours
available
Let X represent product X
Let Y represent Product Y
2x + 3y = 1500
x + y = 550
y= 550-x
2x + 3(550-x) = 1500
2x + 1650- 3x = 1500
150 = x
y = 550-150
y = 400
Objective Function Z = 100x + 120y
Z = 100(150) + 120( 400)
Z = 15000+48000
Z = $63000
Let's start first by writing down the given:
σ = 100
sample mean = 450
sample size = 25
These information, plus the fact that we know that the population is approximately normally distributed, would tell us that we can use the
normal distribution curve in analyzing the problem.
A confidence interval of the mean is just a range statistically estimated to contain the population mean. For a 90% confidence interval, we would look at the Z-table and see where 90% of the data falls. We'll notice that it will fall within
1.645 standard deviations of the mean.
Next, we look for the standard error of the mean. This will have a formula

The standard error would just therefore be equal to

Lastly, we just get the product of the standard error and 1.645 and add it to 450 for the maximum value and subtract it to 450 for the minimum value.

ANSWER: 417.1<μ<482.9