1. **Stating the problem:**
We have a data set with mean $\mu = 7$, variance $\sigma^2 = 2$, and range $R = 3$. Each data point is transformed by multiplying by 2 and then adding 5. We need to determine the truth of the following statements about the new data set:
- New mean is 19.
- New variance is 10.
- New range is 6.
2. **Formulas and rules:**
- When each data point $x$ is transformed to $y = a x + b$, the new mean is $\mu_y = a \mu_x + b$.
- The new variance is $\sigma_y^2 = a^2 \sigma_x^2$ (adding $b$ does not affect variance).
- The new range is $R_y = a R_x$ if $a > 0$ (range scales by the absolute value of $a$).
3. **Calculate the new mean:**
$$\mu_y = 2 \times 7 + 5 = 14 + 5 = 19$$
This matches statement 1, so statement 1 is **true**.
4. **Calculate the new variance:**
$$\sigma_y^2 = 2^2 \times 2 = 4 \times 2 = 8$$
Statement 2 claims the new variance is 10, but we found 8, so statement 2 is **false**.
5. **Calculate the new range:**
$$R_y = 2 \times 3 = 6$$
Statement 3 claims the new range is 6, which is correct, so statement 3 is **true**.
**Summary:**
- Statement 1: True
- Statement 2: False
- Statement 3: True
However, the user marked statement 2 as true and statement 3 as false, which is incorrect based on calculations.
Data Transformation 643D2D
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