Below is the answer from the indication whether each hypothesis is supported or not supported by the data answers
<h3>Further explanation
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Testing hypotheses. To test their hypotheses, the researchers examined the data they collected during the period of study.
Using the information available, they assessed whether the population sizes of cliff swallows and potential scavengers living near highways had changed over time. They determined how traffic patterns on these roads had changed over time. They also measured the bodies of cliff swallows that had been killed on the roads and compared their features to the features of cliff swallows in the general population. The table below summarizes the researchers' findings.
First, you will drag all the hypothesis-relevant labels highlighted in 'blue' onto the table. Then by looking at the table now filled with blue-label items, you should be able to figure a few things out. By using the pink labels, you will be able to indicate whether a hypothesis is supported or not.
- Hypothesis 1 => data collected: The wing shapes of swallows killed on road differ from those of the general population. Hypothesis supported? No (probably not a factor)
- Hypothesis 2 => data collected: The total number of cliff swallow nests near roads increased during this time. Hypothesis supported? Yes (additional data may be needed)
- Hypothesis 3 => data collected: Avian scavengers did not increase during this time, and terrestrial scavengers probably did not increase. Hypothesis supported? Yes (additional data may be needed)
- Hypothesis 4 => data collected: Car traffic stayed the same or increased during this time. Hypothesis supported? Yes (additional data may be needed)
<h3>Learn more</h3>
- Learn more about hypothesis brainly.com/question/11555274
- Learn more about the population sizes brainly.com/question/9696567
- Learn more about Testing hypotheses brainly.com/question/8169133
<h3>Answer details</h3>
Grade: 9
Subject: mathematics
Chapter: Testing hypotheses
Keywords: hypothesis, the population sizes, Testing hypotheses, the blue labels, pink labels