A flute instructor examined student progress. She found that playing a longer song does not necessarily mean that a student will have more or fewer wrong notes. What can she conclude?There is no correlation between song length and number of wrong notes.There is a correlation between song length and number of wrong notes. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between song length and number of wrong notes. There is probably also causation. This is because there is likely an increase in the number of wrong notes with an increase in the song length.

We wish to test the hypothesis that music improves leaning. We compare test scores of students who study to music with those who study in silence. Which of the following is an extraneous variable in the experiment? A. the amount of time allowed for the studying B. Any of them is an extraneous variable C. the students test scores D. the presence or absence of the music

Data was collected at a tennis court. It showed that being older implies that a player will stay for a shorter length of time. What is likely true?There is no correlation between age and length of stay.There is a correlation between age and length of stay. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between age and length of stay. However, there is no causation. This is because there is a decrease in the length of stay with an increase in age.

We wish to test the hypothesis that music improves learning. We compare the test scores of students who study with music and those who study in silence. Which of the following is an extraneous variable in this experiment?a.the presence or absence of musicb.the amount of time allowed for studyingc.silenced.the students test scores

(a)A yoga instructor collected student data. She found that students who had less sleep did not tend to have a greater range of motion during class. What can she conclude?There is no correlation between amount of sleep and range of motion.There is a correlation between amount of sleep and range of motion. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between amount of sleep and range of motion. There is probably also causation. This is because there is likely an increase in the range of motion with an increase in the amount of sleep.(b)A traffic study determined that a larger city population indicates a longer commute time for drivers. What can we say from this information?There is no correlation between commute time and city population.There is a correlation between commute time and city population. However, there is no causation. This is because there is an increase in the commute time with an increase in the city population.There is a correlation between commute time and city population. There may or may not be causation. Further studies would have to be done to determine this.(c)A company found that employees who start work earlier do not necessarily drink more or less coffee. Which statement is most likely true?There is no correlation between start time and amount of coffee consumed.There is a correlation between start time and amount of coffee consumed. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between start time and amount of coffee consumed. However, there is no causation. This is because there is probably an increase in the amount of coffee consumed with an earlier start time.

The statement that "there will be no significant difference in the performance of students who learn with music and student who do not learn with music" is an example of a/an A. null hypothesis B. alternative hypothesis C. basic research D. applied research