Question

Which of the following is a reason to use statistics to evaluate data? a. It enables you to prove that your hypothesis is correct. b. It enables you to exclude data that do not fit your hypothesis. c. It makes it possible to exclude the null hypothesis. d. It enables you to predict experimental results. e. It accounts for variation in scientific measurements.

Name: Problem 5, Chapter 1: Life: The Science of Biology
Uploaded: 2020-06-04T13:43:38-08:00
Duration: 1 min 27 s
Channel: Esmeralda Ledezma
Description: Which of the following is a reason to use statistics to evaluate data? a. It enables you to prove that your hypothesis is correct. b. It enables you to exclude data that do not fit your hypothesis. c. It makes it possible to exclude the null hypothesis. d. It enables you to predict experimental results. e. It accounts for variation in scientific measurements.

   Which of the following is a reason to use statistics to evaluate data?
a. It enables you to prove that your hypothesis is correct.
b. It enables you to exclude data that do not fit your hypothesis.
c. It makes it possible to exclude the null hypothesis.
d. It enables you to predict experimental results.
e. It accounts for variation in scientific measurements.

Life: The Science of Biology

David Sadava, David… 10th Edition

Chapter 1, Problem 5

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Solved by Expert Esmeralda Ledezma

06/04/2020

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Which of the following is a reason to use statistics to evaluate data? a. It enables you to prove that your hypothesis is correct. b. It enables you to exclude data that do not fit your hypothesis. c. It makes it possible to exclude the null hypothesis. d. It enables you to predict experimental results. e. It accounts for variation in scientific measurements.

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Key Concepts

Accounting for Measurement Variation

This concept involves recognizing that experimental data often contains inherent variability due to measurement errors, natural fluctuations, or other uncertainties. Statistics provides the tools to quantify and account for this variation, ensuring that conclusions drawn from the data reflect true underlying phenomena rather than random noise.

Statistical Inference

Statistical inference is the process of drawing conclusions about a larger population based on sample data. It encompasses techniques such as hypothesis testing, estimation, and the creation of confidence intervals, allowing researchers to make predictions and assess the likelihood that their results are due to chance.

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