A psychologist is conducting a two sample (independent samples) t-test to compare two treatment conditions. She intended to see whether there is a significant difference between two treatments.  Following data were obtained: Treatment one group: # of participants = 20, sample mean = 75, sample standard dev (s) = 3.15. Observations are normally distributed Treatment two group: # of participants = 15, sample mean = 72, sample standard dev (s) = 3. 54. Observations are normally distributed Use 1% significance level. Assume    µ1 and  µ2 are the population means for groups of treatment one and   two respectively.  a) What is null and alternative hypotheses? b) What is the value of the test statistic? c) What is the p-value?

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A psychologist is conducting a two sample (independent samples) t-test to compare two treatment conditions. She intended to see whether there is a significant difference between two treatments.  Following data were obtained: Treatment one group: # of participants = 20, sample mean = 75, sample standard dev (s) = 3.15. Observations are normally distributed Treatment two group: # of participants = 15, sample mean = 72, sample standard dev (s) = 3. 54. Observations are normally distributed Use 1% significance level. Assume    µ1 and  µ2 are the population means for groups of treatment one and   two respectively.  a) What is null and alternative hypotheses? b) What is the value of the test statistic? c) What is the p-value? d) What is your conclusion?
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