AP standard error graph review

You believe that when someone drinks an energy drink, their heart rate increases. You set up an experiment with various energy drinks and amounts of consumption, and then measure the heart rate of individuals. The types of energy drinks in the experiment is the __.

• IV

• DV

• Control

• Constant

Which of the following is a correct conclusion to draw from this graph?

• Exercise increases blood plasma prolactin

• Exercise has a significant impact on blood plasma prolactin

• Exercise has no significant impact on blood plasma prolactin

"No Overlap" means...

• That there is a statistically significant difference between the two groups

• That there is No statistically significant difference between the two groups

True or false: Oranges are more expensive compared to apples.

• True, the average is higher (the bar graph)

• True, the error bars overlap, therefore, there is a significant difference.

• False, the error bars overlap, therefore there is NO significant difference. The variation is due to chance.

If both sets (set A and set B) have the same sample size/# of trials, then which set has a greater amount of variation within the data?

• Set A

• Set B

• Cannot tell without seeing the data table results were recorded in.

True or false: Cycle 2 significantly absorbed more copper compared to cycles 1 and 3.

• True, it has the smallest standard error bars

• False, the error bars overlap for all three cycles.

During experiment 1, the treated sample had significantly less enzyme activity.

• True

• False

Which group had a significant decrease in reaction time after the treatment?

• A

• B

• A & B

• C

Is there a significant statistical difference between these samples?

• Yes, because the errors bars overlap

• No, because the error bars overlap

• Yes, because the error bars don't overlap

• No, because the error bars don't overlap

The mean value of a data set is calculated by...

• dividing the standard deviation by the square root of the sample size

• subtracting one from the sample size

• adding together all values and dividing by the sample size

• squaring the difference between the observed and expected values