1. Read the background information provided in the Excel file.
2. Complete the instructions listed below.

Data here:

INTERPRETATION TEMPLATE T-TEST (updated 4/2020) 1. State p-value explicitly and its relationship to alpha ((1) = .05 a. \"The p-value is which is greater than/less than a of (state numerical alpha value), 2. State significance a. \"which indicates that there is/is not a significant difference between means (11).\" 3. Revisit null hypothesis 3. \"Therefore we reject/accept the null hypothesis, which states that there is no significant difference between (name of variables)" 4. Explain observed difference in light of p-value 3. Significant difference \"The difference between means is most likely due to (name of categorical variable) and not due to chance." b. No significant difference \"The difference between means is most likely due to chance and not (name of categorical variable), as expected.\" 5. Confounding factors a. \"This could be due, in part, to....\" ZOOM + Table 1. Raw Data Participant Age Ballon Circumference (cm) # days Week of Cardio |smokeronsmoker Background: We are looking to determine if smoking affects lung capacity. There are 50 participants between the ages of 19 30.4 18 and 25. 25 participants are smokers, 25 are non-smokers. Each participant was asked to inflate a ballon with one breath. non-smoker 33 The circumference of that ballon was then measured and recorded IN non-smoker 38.1 smoke Working Hypothesis: 43 .1 non-smoker 43.1 smoker Null Hypothesis: 43 .2 smoker 44 DO w O - on-smoker Interpretation: smoker non-smoker smoker smoker smoker non-smoker smoker non-smoker non-smoker non-smoker non-smoker non-smoker non-smoker non-smoker smoker smoker smoker smoker smoker smoker non-smoker A O A A A - O A N A A A UI N - V A A W A A UI A O O W W - CI O N N N N A - O O W W N O smoker non-smoker non-smoker non-smoke smoker smoker non-smoker non-smoker non-smoker smoker smoker smoker smoker non-smoker smoker smoker non-smoker smoker non-smoker 69.2 non-smoker smoker non-smoker