Question
4.39 Weights of pennies: The distribution of weights of United States pennies is approximately normal
with a mean of 2.5 grams and a standard deviation of 0.03 grams.
(a) What is the probability that a randomly chosen penny weighs less than 2.4 grams?
(please round to four decimal places)
(b) Describe the sampling distribution of the mean weight of 10 randomly chosen pennies.
Mean: grams (please round to one decimal place)
Standard Deviation:
© What is the probability that the mean weight of 10 pennies is less than 2.4 grams?
(please round to four decimal places)
with a mean of 2.5 grams and a standard deviation of 0.03 grams.
(a) What is the probability that a randomly chosen penny weighs less than 2.4 grams?
(please round to four decimal places)
(b) Describe the sampling distribution of the mean weight of 10 randomly chosen pennies.
Mean: grams (please round to one decimal place)
Standard Deviation:
© What is the probability that the mean weight of 10 pennies is less than 2.4 grams?
(please round to four decimal places)
Ask by Bartlett Powers. in the United States
Mar 27,2025
Upstudy AI Solution
Tutor-Verified Answer
Answer
Solution
The weight
of a penny is normally distributed as
We want to find
Compute the
-score for
:
Using the standard normal distribution table or a calculator, we have
Thus,
For a sample of
pennies, the sampling distribution of the sample mean
is also normally distributed. Its parameters are as follows:
-
Mean:
-
Standard deviation (standard error):
After rounding the mean to one decimal place, we have:
We need the probability that the mean weight of 10 pennies is less than 2.4 grams:
Compute the
-score for
:
For such a negative
-score, the probability is extremely small. From the standard normal distribution,
Thus,
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Mind Expander
To find the answers to your questions, let’s break it down step-by-step.
(a)
First, we want to find the probability that a randomly chosen penny weighs less than 2.4 grams. We will use the Z-score formula to do this:
Where:
-
= the value we are interested in (2.4 grams) -
= the mean (2.5 grams) -
= standard deviation (0.03 grams)
Calculating the Z-score:
Next, we will use a standard normal distribution table or a calculator to find the probability corresponding to
.
Using the Z-table or a normal distribution calculator:
P(Z < -3.33) ≈ 0.0004
Rounding to four decimal places, the probability that a randomly chosen penny weighs less than 2.4 grams is 0.0004.
(b)
Next, we need to describe the sampling distribution of the mean weight of 10 randomly chosen pennies. The mean of the sampling distribution is equal to the mean of the population, and the standard deviation is the standard deviation of the population divided by the square root of the sample size (n).
-
Mean of the sampling distribution (same as the population mean):
-
Standard deviation of the sampling distribution:
Thus, rounding to one decimal place:
Mean: 2.5 grams
Standard Deviation: 0.0095 grams (or about 0.01 grams when rounded to two decimal places).
Standard Deviation: 0.0095 grams (or about 0.01 grams when rounded to two decimal places).
©
Now we will find the probability that the mean weight of 10 pennies is less than 2.4 grams. We will use the Z-score formula again but with the mean of the sampling distribution and the sampling distribution’s standard deviation.
Calculating the Z-score:
Using a standard normal distribution table or calculator:
P(Z < -10.53) is extremely close to 0.
Since it is well beyond the practical range of Z-scores in standard normal tables, we can conclude that:
The probability that the mean weight of 10 pennies is less than 2.4 grams is approximately 0.0000 (rounding to four decimal places).