Question

1. A public health researcher wants to collect data about race of people who have HIV. His hypothesis is that HIV rates will affect African Americans differently than other races.

1. What would the null hypothesis be for this study?

2. What is the research hypothesis?

3. The researcher publishes an article saying that there were, in fact, more African Americans with HIV than other races with the disease in his study. Did the researcher fail to reject or reject the null hypothesis?

2. A medical researcher is testing if a migraine medication significantly reduces migraines.

1. What would a Type I error look like?

2. What would a Type II error be in this study?

Answer 1

1)

a)

NULL hypothesis : HIV RATES WILL affect  African Americans same as the other races.

Research Hypothesis : HIV rates will affect African Americans differently than other races.

c) IF the researcher publishes an article saying that there were, in fact, more African Americans with HIV than other races with the disease in his study,

then HE REJECTED THE NULL HYPOTHESIS

2)

NULL HYPOTHESIS : migraine medication does not significantly reduces migraines.

a) Type 1 error is false positive (you falsely reject the (true) null hypothesis)

If migraine medication   does not significantly reduces the migraine

but still you reject the null hypothesis

b)  Type 2 error is false negative ( type II error is the non-rejection of a false null hypothesis.)

If migraine medication significantly does significantly reduce the migraine yet you do not reject the null hypothesis