[Hints for Discussion Board 2]

You need to remember that the hypothesis test results show you the CHANE OF THE NULL

HYPOTHESIS TO BE TRUE. The null hypothesis is "THERE IS NO DIFFERENCE between

patients received treatment and patients did not receive the treatment". Usually we use

significance level (a) of 0.05 or 0.01 for comparison. I will use a-0.05 for explanation.

1. p value of your hypothesis test results is SMALLER than 0.05 (a). --> the chance of the null

hypothesis to be true is very small -> so you REJECT the null hypothesis. it means what

you said in the null hypothesis (no difference in treatment results in subjects receives the

treatment or not received the treatment) is NOT TRUE-> therefore the conclusion is "there

is significant difference in the results between those who received the treatment and those who

did not receive the treatment. Is this a GOOD TREATMENT? Imaging the treatment is for

COVID-19 patients, should we be happy about it? Should the drug companies be happy about it?

2. p value of your hypothesis test results is GREATER than 0.05 (a). --> the chance of the null

hypothesis to be true is BIG/possible so you FAIL TO REJECT the null hypothesis. -→> it

means what you said in the null hypothesis (no difference in treatment results in subjects

receives the treatment or not received the treatment) is TRUE -> therefore the conclusion is

"there is no significant difference in the results between those who received the treatment and

those who did not receive the treatment. Is this a GOOD TREATMENT? Imaging the

treatment is for COVID-19 patients, should we be happy about it? Should the drug companies be

happy about it?