Each day John visits his friend Betty. He noticed that Betty ate hamburgers every day for lunch and also noticed that Betty ate more hamburgers on a Friday. Each Thursday Betty goes to the gym to workout. John formed the following hypothesis: Betty eats more hamburgers on a Friday than on other days because she is hungry the day after she goes to the gym to workout. John then counted the number of hamburgers Betty ate over a month and created the data visualisation below: Which of the following statements is correct?单项选择题
A
a. The data supports the hypothesis, but the data does not prove that the hypothesis is correct.
B
b. The data refutes the hypothesis.
C
c. It is unclear if the data supports or refutes the hypothesis.
D
d. The data absolutely proves the hypothesis is 100% correct.

Question

Each day John visits his friend Betty. He noticed that Betty ate hamburgers every day for lunch and also noticed that Betty ate more hamburgers on a Friday. Each Thursday Betty goes to the gym to workout. John formed the following hypothesis: Betty eats more hamburgers on a Friday than on other days because she is hungry the day after she goes to the gym to workout. John then counted the number of hamburgers Betty ate over a month and created the data visualisation below: Which of the following statements is correct?单项选择题

A

a. The data supports the hypothesis, but the data does not prove that the hypothesis is correct.

B

b. The data refutes the hypothesis.

C

c. It is unclear if the data supports or refutes the hypothesis.

D

d. The data absolutely proves the hypothesis is 100% correct.

BlackTom AI · Accepted Answer

First, restate the scenario and options to ensure clarity about what is being evaluated.
The scenario describes John’s hypothesis: Betty eats more hamburgers on Fridays because she is hungry the day after her Thursday gym workout. He collected data over a month and produced a chart showing the number of hamburgers eaten per day, with Friday appearing significantly higher than other days.
Option a. The data supports the hypothesis, but the data does not prove that the hypothesis is correct.
Option b. The data refutes the hypothesis.
Option c. It is unclear if the data supports or refutes the hypothesis.
Option d. The data absolutely proves the hypothesis is 100% correct.

Now, evaluate each option in turn, noting what the data can and cannot establish.
Option a: The data supports the hypothesis, but the data does not prove that the hypothesis is correct.
- The chart shows Friday values are higher than other days, which is consistent with the idea that Fridays involve higher hamburger consumption, possibly due to being hungry after Thursday gym days.
- However, correlation does not imply proven causation. The data does not eliminate other explanations (e.g., Fridays being a weekly routine, social factors, or random variation). Therefore, the data supports, but does not prove, the hypothesis.
Option b: The data refutes the hypothesis.
- This would require the data to show no difference or lower Friday values or patterns opposite to the hypothesis. Since Friday is substantially higher, this option misreads the observed pattern and is not supported by the chart.
Option c: It is unclear if the data supports or refutes the hypothesis.
- The chart provides a clear pattern with Friday being higher, which gives some evidence toward support. It is not utterly ambiguous; the data leans toward support rather than being inconclusive.
Option d: The data absolutely proves the hypothesis is 100% correct.
- Absolute proof would require ruling out all other possible explanations and demonstrating causation beyond doubt, which a simple observational chart over a month cannot deliver. Therefore, this overstates what the data can establish.

In summary, the chart demonstrates a pattern consistent with the hypothesis (Friday is the highest day for hamburgers), but it does not establish causal proof or rule out alternative explanations. The most appropriate statement is that the data supports the hypothesis, while not proving it definitively.