7. What are the average E. coli counts for each day? Did the E. coli in the sample increase or decrease on average from Day 1 to Day 2? Explain. Also give the standard deviations for the E. coli counts for each day. 8. What is the average of the difference (Day 1 - Day 2) in E. coli counts? Does the sign of this average correspond to your answer of increasing or decreasing between Day 1 and Day 2 in the #7? Explain. Also give the standard deviation for the differences in E. coli counts. STEP 4: Draw inferences beyond the data. 9. Carry out an appropriate test of significance to see whether, on average, there is a genuine difference between the first E. coli count and the second E. coli count. Report your p-value and a 95% confidence interval. STEP 5: Formulate conclusions. 10. Based on your p-value and confidence interval, what conclusions can you draw from this test? 11. Can generalizations be made to a larger population? Is there a cause-effect relationship between the variables?