Before completing this experiment, we hypothesized that each person’s heart rate, systolic blood pressure, and diastolic blood pressure would increase right after the exercise, and then decrease for the next three readings. Because the p-value for heart rate is 0.11, there is an 11% probability that our results are due to chance and not the experiment. Because this reading is above 0.05 or 5% (the alpha value in this experiment), we accept the null hypothesis, meaning that walking stairs does not immediately increase a person’s heart rate. This value is therefore not significant. Because the p-value for systolic blood pressure was 0.02, there is a 2% probability that our results are due to chance. Similarly, the diastolic blood pressure’s p-value is 0.03, so there is a 3% probability that our results are due to chance. Because the p-values for systolic and diastolic blood pressures are below 0.05 …show more content…
The 12 people in the experimental group then participated in 45 minutes of exercise, with their blood pressure and heart rate being taken every five minutes; the other 12 people sat for 45 minutes. Based on the results, the systolic and diastolic blood pressures both had a dramatic increase and then decreased throughout recovery, even for the people varying in exercise intensity. The heart rate had a similar increase in measurements. However, the more intense exercises led to the higher heart rate values, while the least intense exercise actually had a decrease in values (Forjaz et al. 1998). Overall, this along with the previously discussed experiment’s results coincides with our results, particularly the blood pressure in the second experiment. The result from both experiments that do not concur with our results is the dramatic increase in heart rate right after