janna is making a prediction of the frequency of a key that is 12 keys from middle c. which best describes…

janna is making a prediction of the frequency of a key that is 12 keys from middle c. which best describes her prediction? interpolation, because a key that is 12 keys from middle c is within the data set interpolation, because a key that is 12 keys from middle c is outside the data set extrapolation, because a key that is 12 keys from middle c is within the data set extrapolation, because a key that is 12 keys from middle c is outside the data set

janna is making a prediction of the frequency of a key that is 12 keys from middle c. which best describes her prediction? interpolation, because a key that is 12 keys from middle c is within the data set interpolation, because a key that is 12 keys from middle c is outside the data set extrapolation, because a key that is 12 keys from middle c is within the data set extrapolation, because a key that is 12 keys from middle c is outside the data set

Answer

Brief Explanations:

Interpolation is used when predicting within the range of the data set, while extrapolation is for predicting outside the data set. Here, the data set has keys (0,1,2,4,8) above middle (C). A key (12) keys from middle (C) is outside this data set. So, it is extrapolation.

Answer:

extrapolation, because a key that is 12 keys from middle C is outside the data set