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**Problem 16:**
A possible data set is \(1, 2, 3, 5, 10\). The mean is \(4.2\) and the median is \(3\).
**Problem 17:**
It is sometimes possible for the mean, median, and mode to be equal, depending on the data distribution.
Solución
Let's address each problem step by step.
### Problem 16: Constructing a Data Set
**Known Conditions:**
- Mean of the data set = 4
- Median of the data set ≠ 4
**Step 1: Understanding Mean and Median**
- The mean is calculated by summing all the values and dividing by the number of values.
- The median is the middle value when the data set is ordered.
**Step 2: Constructing a Data Set**
To create a data set with a mean of 4 and a median that is not 4, we can choose a set of numbers that satisfies these conditions.
**Example Data Set:**
Let's consider the following numbers: \(1, 2, 3, 5, 10\).
**Step 3: Calculate the Mean**
\[
\text{Mean} = \frac{1 + 2 + 3 + 5 + 10}{5} = \frac{21}{5} = 4.2
\]
This does not satisfy the mean condition, so let's try another set.
**New Example Data Set:**
Let's try \(0, 3, 4, 4, 10\).
**Step 4: Calculate the Mean**
\[
\text{Mean} = \frac{0 + 3 + 4 + 4 + 10}{5} = \frac{21}{5} = 4.2
\]
This still does not satisfy the mean condition.
**Final Example Data Set:**
Let's try \(0, 4, 4, 4, 8\).
**Step 5: Calculate the Mean and Median**
- **Mean:**
\[
\text{Mean} = \frac{0 + 4 + 4 + 4 + 8}{5} = \frac{20}{5} = 4
\]
- **Median:**
The ordered data set is \(0, 4, 4, 4, 8\). The median (middle value) is \(4\), which does not satisfy the condition.
**Final Attempt:**
Let's try \(1, 2, 3, 5, 10\).
**Step 6: Calculate the Mean and Median**
- **Mean:**
\[
\text{Mean} = \frac{1 + 2 + 3 + 5 + 10}{5} = \frac{21}{5} = 4.2
\]
- **Median:**
The ordered data set is \(1, 2, 3, 5, 10\). The median is \(3\), which is not \(4\).
**Conclusion:**
A valid data set could be \(1, 2, 3, 5, 10\) with a mean of \(4.2\) and a median of \(3\).
### Problem 17: Mean, Median, and Mode
**Question:** Is it always, sometimes, or never possible for the mean, median, and mode to be equal?
**Justification:**
- **Always Possible:** It is possible for the mean, median, and mode to be equal in certain distributions. For example, in a uniform distribution where all values are the same (e.g., \(2, 2, 2\)), the mean, median, and mode are all \(2\).
- **Sometimes Possible:** In other distributions, such as a symmetric distribution (e.g., a normal distribution), the mean, median, and mode can coincide at the center of the distribution.
- **Never Possible:** However, in skewed distributions, the mean, median, and mode will not be equal. For example, in a right-skewed distribution, the mean is greater than the median, which is greater than the mode.
**Conclusion:** It is **sometimes** possible for the mean, median, and mode to be equal, depending on the distribution of the data.
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