Short Answer
The significance test statistic can be calculated by first determining the sample proportion (p-hat) as 0.4 from 200 successes out of 500. Using this value and the null hypothesis proportion of 0.45, the z-score formula yields a test statistic of approximately -2.04.
Step 1: Understand the Variables
To calculate the significance test statistic, it’s essential to identify and understand the variables involved. In this context, we have:
- p-hat: This is the sample proportion, calculated by dividing the number of successes by the sample size.
- p0: The null hypothesis proportion, which in this case is 0.45.
- n: The sample size, given as 500.
Step 2: Calculate the Sample Proportion
Using the provided data, we can calculate the sample proportion, p-hat. Here’s how to compute it:
- Divide the number of successes (200) by the total sample size (500).
- This results in p-hat = 200/500 = 0.4.
Step 3: Compute the Test Statistic
Now, we can apply the values into the z-score formula to obtain the test statistic. Follow these steps:
- Use the formula: z = (p-hat – p0) / sqrt(p0(1-p0)/n).
- Plug in the values: z = (0.4 – 0.45) / sqrt(0.45(1-0.45)/500).
- The result is approximately -2.04, which is the correct test statistic for the significance test.