In this case, the concept of the scenario was used to decide whether dependent or independent samples would be acquired for the investigation. It is a dependent sample since the sample obtained from the indicated population is the same at different times. According to Anders (2017), comparing the results from the same variables before and after the situation is a well-known example of a dependent design. The average highway speeds of 30 drivers should be taken into account based on the statistics provided. A cup of coffee must be delivered every day for ten days, and on the tenth day, the average speed is determined. The statistical difference in driving speeds between days one and ten needs to be put to the test. The average of the same group is to be examined using the samples from days 1 and 10, respectively. 30 samples are still being used. The circumstances of the paired t-test are met in this case. The paired t-test would be the proper statistical test. The sample was drawn from the same population, and its value influences the value of the other samples. Due to the fact that it deals with the same group's average, paired t-test is appropriate.

References

Anders, K. (2017). Resolution of Students t-tests, ANOVA and analysis of variance components from intermediary data. Biochemia Medica, 27(2), 253-258. https://doi-org.lopes.idm.oclc.org/10.11613/BM.2017.026

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2018). Statistical techniques in business and economics (17th ed.). New York, NY: McGraw Hill Education, ISBN-13: 9781259666360

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