Step-by-step explanation:
The plumber's daily earnings have a mean of $145 per day with a standard deviation of
$16.50.
We want to find the probability that the plumber earns between $135 and
$175 on a given day, if the daily earnings follow a normal distribution.
That is we want to find P(135 <X<175).
Let us convert to z-scores using
This means that:
We simplify to get:
From the standard n normal distribution table,
P(z<1.82)=0.9656
P(z<-0.61)=0.2709
To find the area between the two z-scores, we subtract to obtain:
P(-0.61<z<1.82)=0.9656-0.2709=0.6947
This means that:
The correct choice is C.
Answer:
A y=mx+b y=3x+50
because $3 is the rate and $50 is what you get started off with
Answer:
I'd use a Non-probability Sampling Method.
Explanation:
The question is already laced with criteria - Heights of Buildings in New York.
This means that there are certain buildings that won't fit in the sample. In a non-probability sample, objects or subjects are elected based on specified criteria that are not random. This means that not all objects/subject have a c<em>hance</em> of being included in the sample.
It is assumed that the question/assignment centers around high rise buildings.
Therefore, one storey buildings and bungalows that are within and outside New York will not be included in the sample.
Under the Non-Probability Sampling Method, it is essential to note that there are other subgroupings of sampling techniques. They are:
- Convenience Sample
- Voluntary Sample
- Purposive Sample
- Snowball Sample
Cheers!
Answer:
cost per pound = $4.20
Step-by-step explanation:
Cheese cost per pound = ?
first for the cost per pound
cost per pound = total cost / pounds bought
cost per pound = $10.50 / 2.5 pounds
cost per pound = $4.20
to check the above answer is correct
cost per pound = total cost / pounds bought
cost per pound = $12.60 / 3 pounds
cost per pound = $4.20
Therefor, the cheese costs $4.20 per pound.
Answer:
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Step-by-step explanation:
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