A large medical facility is experiencing too many missed appointments in its primary and specialty care clinics. The facility has noticed that not all patients respond well to reminder calls regarding follow-up appointments. Some patients do not answer calls and do not seem to respond to voice mail requesting they call the facility. The result is that many follow-up appointments are missed. Facility management have read articles that indicate people respond very well to text messages and would like to see which method provides the least amount of missed appointments. Missed appointments are tracked in the facility database on a monthly basis.

I am given the following data to use:

t-Test: Two-Sample Assuming Equal Variances GROUP 1 GROUP 2 Mean 5.61 7.326667 Variance 4.798172 1.855816 Observations 30 30 Pooled Variance 3.326994 Hypothesized Mean Difference 0 df 58 t Stat -3.64507 P(T<=t) one-tail 0.000286 t Critical one-tail 1.671553 P(T<=t) two-tail 0.000573 t Critical two-tail 2.001717

What is the significance level of the comparison?

What was the alpha level you identified in Week 3?

What was the means and variance for each variable?

What was the test statistic?

What was the critical value for both the one- and two-tailed test?

Was your test one-tailed or two-tailed?

Were you able to reject the null hypothesis? In other words, did you prove there was a difference?

Talk about what these results mean in everyday language and in context to your chosen scenario.

Make a recommendation based on the findings.