A researcher is testing a new fertilizer to determine whether it encourages plant growth. One group of oak tree saplings is treated weekly with the new fertilizer, while another group of oak tree saplings is not. Their heights are recorded weekly. After 10 weeks, the results are compared. The researcher finds that the average difference in the heights of the fertilized saplings versus the nonfertilized saplings is 1.5 centimeters. She then generates a simulation of 96 more trials. Examine the histogram of the simulation of differences. Do the data and the simulations provide evidence that the fertilizer has encouraged growth?

(1 point)
Responses

The data and simulations show evidence that the fertilizer encourages growth. The average height falls in the bin near the center of the distribution, between 0–2, indicating that the difference is unusual.
The data and simulations show evidence that the fertilizer encourages growth. The average height falls in the bin near the center of the distribution, between 0–2, indicating that the difference is unusual.

The data and simulations show evidence that the fertilizer encourages growth. The average height falls in the bin near the center of the distribution, between 0–2, indicating that the difference is not unusual.
The data and simulations show evidence that the fertilizer encourages growth. The average height falls in the bin near the center of the distribution, between 0–2, indicating that the difference is not unusual.

The data and simulations show no evidence that the fertilizer encourages growth. The average height falls in the bin near the center of the distribution, between 0–2, indicating that the difference is not unusual.
The data and simulations show no evidence that the fertilizer encourages growth. The average height falls in the bin near the center of the distribution, between 0–2, indicating that the difference is not unusual.

The data and simulations show no evidence that the fertilizer encourages growth. The average height falls in the bin near the center of the distribution, between 0–2, indicating that the difference is unusual.