* Indicates a required field. FORUM DESCRIPTION (a) Give an example from the Hea
ID: 3336305 • Letter: #
Question
* Indicates a required field. FORUM DESCRIPTION (a) Give an example from the Health Profession in which making a Type l Error is more critical than making a Type Il Error. Your answer MUST explicitly state the Null and Alternative Hypothesis for your example. As shown in the text your Null and Alternative hypothesis MUST include the parameter (proportion or mean) being tested along with your hypothesized claimed value for this parameter. (b) Give an example from the Health Profession in which making a Type II Error is more critical than making a Type l Error. Your answer MUST explicitly state the Null and e Hypothesis for your example. As shown in the text your Null and Alternative hypothesis MUST include the parameter (proportion or mean) being tested along with your hypothesized claimed value for this parameter. MESSAGE * SubjectExplanation / Answer
Type I errors in statistics occur when statisticians incorrectly reject the null hypothesis, or statement of no effect, when the null hypothesis is true while Type II errors occur when statisticians fail to reject the null hypothesis and the alternative hypothesis, or the statement for which the test is being conducted to provide evidence in support of, is true.
a) We are testing a claim where, if less than 5mg of medicine given to patient will give serious diseases.
Sample mean = 4
SD = 2
Null: 5
Alt: < 5
So, here if we incorrectly reject null hypotheses, we will give him less than 5 mg and he will have serious diseases.
b) We are testing a claim where, if more than 5mg of medicine given to patient will give serious diseases.
Sample mean = 4
SD = 2
Null: 5
Alt: > 5
So, here if we fail to reject null hypotheses, we will believe that less than 5 mg will give him serious diseases. But the opposite is true.
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