Final answer:
We can perform a t-test using the sample data to determine if the mean systolic blood pressure is greater than 120 mmHg. If the p-value is less than 0.1, we can conclude that the actual value is higher.
Step-by-step explanation:
In order to determine whether the mean systolic blood pressure among elderly adults is greater than 120 mmHg, we can perform a hypothesis test using the sample data. Since the population standard deviation is not known, we'll use a t-test.
Step 1: State the null and alternative hypotheses.
Null hypothesis (H0): μ = 120 mmHg
Alternative hypothesis (H1): μ > 120 mmHg
Step 2: Set the level of significance (alpha).
Alpha (α) = 0.1
Step 3: Conduct the hypothesis test.
We'll use a t-test with the sample mean (131 mmHg), sample standard deviation (21 mmHg), sample size (16), and the hypothesized population mean (120 mmHg).
Calculate the t-value: t = (x - μ)/(σ/√n), where x is the sample mean, μ is the hypothesized population mean, σ is the sample standard deviation, and n is the sample size.
t = (131 - 120)/(21/√16) = 11/5 = 2.2
Compare the t-value to the critical value from the t-distribution table or use statistical software to find the p-value. If the p-value is less than the level of significance (alpha), we reject the null hypothesis in favor of the alternative hypothesis.
Step 4: Interpret the results.
If the p-value is less than 0.1, we can conclude that there is sufficient evidence to suggest that the mean systolic blood pressure among elderly adults is greater than 120 mmHg.