Given a <span>graph showing the relationship between daily caffeine consumption and
resting heart rate for some adults.
In the graph, the y-axis is labelled 'resting heart rate (bpm)' while the x-axs is labelled 'total coffee intake (cups)'
From the graph it can be seen that the y-value increases as the x-value increases.
Thus the phrases that describe the
relationship between heart rate and daily intake of caffeine are as follows:
</span>
increasing heart rate and positive correlation
When we make inferences about the difference of two independent population proportions, we assume that it is a random sample, and the number of successes and failures are at least 15 in each group.
Two independent proportions tests involve comparing the proportions of two unrelated datasets.
For these two datasets to be regarded as an independent population, the following must be true or assumed to be true
- The datasets must represent a random sample
- Each dataset must contain at least 15 successes and failures
Hence, the above highlights are the assumptions of two independent population proportions.
To learn more about independent populations from the given link
brainly.com/question/23989150
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- 1 1/10 + (-1 2/5)
- 1 1/10 + (-1 4/5)
-2 5/10
-2 1/2
Answer:
SUP
Step-by-step explanation:
