Answer:
A histogram will be utilized to illustrate the right wrist size of the random sample of newborn infants.
Step-by-step explanation:
A histogram serves as a visual representation of the frequency distribution present within the sample. Given that wrist circumference can take on positive real number values, a histogram with defined class boundaries can be constructed to display the overall distribution of wrist sizes in the graph.
Furthermore, as this distribution is continuous in nature, a histogram proves to be a fitting choice compared to either a bar graph or a stem-and-leaf plot.
The formula for slope is
m = (y2 - y1)/(x2 - x1)
A. m = (5 - 0)/(-2 + 2)
m = (5)/(0)
m = error
B. m = (-2 - 0)/(0 + 2)
m = (-2)/(2)
m = -1
C. m = (2 - 0)/(2 - 0)
m = (2)/(2)
m = 1
D. m = (0 - 0)/(2 - 3)
m = (0)/(-1)
m = 0
the slope that is deemed undefined is the one resulting in an error, which is A
Answer:
(A) Approximately normal with a mean of $206,274 and a standard deviation of $3,788.
Step-by-step explanation:
The Central Limit Theorem asserts that for a random variable X that follows a normal distribution with a mean of
and a standard deviation of
, the sampling distribution of sample means, when drawn with size n, can be estimated as a normal distribution with a mean of
and a standard deviation of
.
Even if the variable is skewed, as long as n is no less than 30, the Central Limit Theorem still holds.
Population:
Right skewed
Mean $206,274
Standard deviation $37,881.
Sample:
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Mean $206,274
Standard deviation 
So the correct answer is:
(A) Approximately normal with a mean of $206,274 and a standard deviation of $3,788.
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