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rodikova [14]
3 years ago
11

The mean percentage of a population of people eating out at least once a week is 57% with a standard deviation of 3.50%. Assume

that a sample size of 40 people was surveyed from the population a significant number of times. In which interval will 68% of the sample means occur?
between 55.89% and 58.11%
between 56.45% and 57.55%
between 56.54% and 57.46%
between 56.07% and 57.93%
Mathematics
2 answers:
Oxana [17]3 years ago
7 0
The correct answer is "between 56.45% and 57.55%." The mean percentage of a population of people eating out at least once a week is 57% with a standard deviation of 3.50%. Assume that a sample size of 40 people was surveyed from the population a significant number of times. At interval <span>between 56.45% and 57.55%, 68% of the sample means to occur.</span>
k0ka [10]3 years ago
4 0

Answer: between 56.45% and 57.55%


Explanation:


We are given:

μ = population mean = 57%

σ = population standard deviation = 3.50%

n = sample size = 40

CL = confidence level = 68% = 0.68

We need to calculate the confidence interval in which we should find the sample mean \bar{x}.


First of all, we need to calculate the sample standard deviation:

s = \frac{\sigma}{\sqrt{n} } = \frac{3.50}{\sqrt{40} }

s = 0.55

Now, there are two equivalent ways to arrive to the answer:


<u>1) short way: use the Empirical Rule</u>, also known as 68–95–99.7 Rule, to remember that 68% of the data lies within 1 standard deviation from the mean.


Therefore, the confidence interval should be:

\mu - 1 s \leq \bar{x} \leq \mu + 1 s

57 - 0.55 ≤ \bar{x} ≤ 57 + 0.55

56.45 ≤ \bar{x} ≤ 57.55


<u>2) long way: make all the calculations</u>.

First, find the critical value corresponding to the confidence level required:

1 - \frac{\alpha }{2} = 1 - \frac{1 - CL}{2} = 1 - \frac{1 - 0.68}{2} = 0.84


Now, since the sample size is greater than 30 and it is said to be statistical significant, we can use a z-score table (instead of a t-score table).

Looking for which z-score corresponds to a probability closest to 0.84, we get z = 1.00 (which confirms the Empirical Rule).


Now, we can find the confidence interval requested:

\mu - z \cdot s \leq \bar{x} \leq \mu + z \cdot s

57 - 1·0.55 ≤ \bar{x} ≤ 57 + 1·0.55

56.45 ≤ \bar{x} ≤ 57.55

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