To calculate the test statistic for the given hypothesis test, we will use the formula for a z-test for proportions.
-
Define the parameters:
- \( n = 212 \) (sample size)
- \( x = 76 \) (number of successes)
- \( p_0 = 0.4 \) (hypothesized population proportion under \( H_0 \))
-
Calculate the sample proportion: \[ \hat{p} = \frac{x}{n} = \frac{76}{212} \approx 0.3585 \]
-
Calculate the standard error of the sampling distribution of the proportion: \[ SE = \sqrt{\frac{p_0(1 - p_0)}{n}} = \sqrt{\frac{0.4 \times (1 - 0.4)}{212}} = \sqrt{\frac{0.4 \times 0.6}{212}} = \sqrt{\frac{0.24}{212}} \approx \sqrt{0.001132} \approx 0.0336 \]
-
Calculate the z-test statistic: \[ z = \frac{\hat{p} - p_0}{SE} = \frac{0.3585 - 0.4}{0.0336} \approx \frac{-0.0415}{0.0336} \approx -1.237 \]
-
Report the test statistic accurate to three decimal places: \[ \text{test statistic} \approx -1.237 \]
Thus, the final answer for the test statistic is: \[ \text{test statistic} = -1.237 \]