2. It is believed that going up two flights of stairs causes
the human heart rate to elevate to 120+ BPM
𝐻0: 𝜇 = 120
𝐻𝐴: 𝜇 > 120
𝝁: average human heart rate after climbing 2 flights of stairs
3. But first we need to measure
your “resting” BPM.
I will set a timer for 15 sec,
and you must count how
many times your heart beats
in that time period.
… then you multiply that by 4 to
get your “resting” BPM
5. You don’t need to fill this table out.
I will email all the results and you
can copy and paste them into
statcrunch for the analysis
6. • Paste the data I sent
• Change these column names
7.
8.
9.
10. “We can say with 95% confidence that the true value of HRI lies
between ___(your lower bound)___ and __(your upper bound)__”
Assumptions that must be met to use this type of CI:
1. Sample data must appear roughly normal
2. Sample size must be roughly 𝑛 ≥ 30
3. Must be a random sample (representative of population)
Comment on
whether these
assumptions are
met
11.
12. Comparison between p-
value and level of
significance
Conclusion Outline of
Interpretation
p-value ≤ α Reject 𝐻0 With p-value= , we
have sufficient evidence
that (state Ha in the
context of the problem).
p-value > α Do not reject 𝐻0 With p-value= , we
do not have sufficient
evidence that (state Ha
in the context of the
problem).
Same assumptions
as for the CI…
comment on them
