Answer:
B. 1.81 pounds.
Step-by-step explanation:
We have been a package of ground beef costs $6.98. The price per pound is $3.86.
To find the number of pounds of ground beef in the package we will divide the cost of package by cost of each pound of ground beef.
Upon rounding our answer to nearest hundredth we will get,
Therefore, there were 1.81 pounds of ground beef in the package and option B is the correct choice.
Which of the following best describes the situation?
A. This is an example of correlation but not causation.
B. This is an example of causation but not correlation.
C. This is an example of both correlation and causation.
D. This is an example of neither correlation nor causation.
When Sarah added the fertilizer and there was a noticeable difference, we can say that:
Causation occurs when an effect is noticed because of a traceable item. The traceable item, in this case, is the fertilizer.
So when the fertilizer was added and a change in color was noticed, we can deduce that the difference was because of the fertilizer.
Therefore, option B is correct.
Learn more about causation here:
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Answer: B.) This is an example of causation but not correlation.
Step-by-step explanation: Causation is a cause and effect, because fertilizer was added to one plant, it's leaf color was improved.
Answer:
13.9
Step-by-step explanation:
Use Pythagorean Theorem:
Both of the lengths given are the legs,
13.5^2 + 3.2^2 = c^2
182.25 + 10.24 = c^2
192.49 = c^2
13.87 = c
Answer: 30
Step-by-step explanation:
Volume of sphere with radius
r= (4/3)Pi(r)^3
I hope that's help ! Please if you have question(s) fell free to let know !
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Answer:
This sampling distribution will only reflect the nature of its population distribution (strongly skewed right because the sample size of each sample, 9, is way less than the sample size of 30 required for the sampling distribution to be approximately normal) with mean 404 inches and standarddeviation of sampling distribution equal to 43 inches.
Step-by-step explanation:
The Central limit theorem explains that for an independent, any random set of sample taken from such a population distribution will have a distribution that is approximately normal (provided that the sample size is large enough) with the mean of sampling distribution also approximately equal to the population mean and the standard deviation of the sampling distribution is given as
σₓ = (σ/√n)
where
σ = population standard deviation
n = sample size
To work these out,
Mean of sampling distribution = population mean
μₓ = μ = 404 inches
Standard deviation of the sampling distribution = σₓ = (σ/√n)
σ = population standard deviation = 129 inches
n = sample size = 9
σₓ = (129/√9) = 43 inches.
For most databases, the 'large enough' criteria for the sampling distribution to be approximately normal is a sample size of about 30 and it gets closer as the sample size becomes larger.
The sample size in the question is 9 which is way less than 30, hence, this sampling distribution will only reflect the nature of its population distribution (strongly skewed right) with mean 404 inches and standarddeviation of sampling distribution equal to 43 inches.
Hope this Helps!!!
Answer:answer is D The shape is skewed right but less so than the population distribution.
Step-by-step explanation: