When 14 different second-year medical students measured the systolic blood pressure of the same person, they obtained the results listed below (in mmHg). Assuming that the population standard deviation is known to be 10 mmHg, use a 0.05 significance level to test the claim that the mean blood pressure level is less than 140 mmHg. Hypertension is defined to be a blood pressure level that is too high because it is 140 mmHg or greater. Assume the blood pressure levels are normally distributed. Based on the hypothesis test results, can it be safely concluded that the person does not have hypertension? 138 120 135 130 120 125 130 130 140 144 143 140 120 150 Click here to view page 1 of the standard normal table. Click here to view page 2 of the standard normal table. (a) Identify the null hypothesis and alternative hypothesis. O A. Ho = 140 versus H,: p < 140 O B. Ho: H= 140 versus H,: u 140 OC. Ho = 140 versus H,: u>140 (b) Identify the critical values(s). The critical value(s) is/are (Round to three decimal places as needed.) (c) Identify the test statistic. (Round to two decimal places as needed.) (d) What is the final conclusion? O A. Fail to reject Ho. There is not sufficient evidence to support the claim. O B. Reject Ho- There is sufficient evidence to support the claim. OC. Fail to reject Ho. There is sufficient evidence to support the claim.

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.