Indicates how much variation you expect among your responses. 1 pointstandard deviationconfidence levelmargin of error

The term that indicates how much variation you expect among your responses is the "standard deviation".

Here's a step-by-step explanation:

1. Standard Deviation: This is a measure that is used to quantify the amount of variation or dispersion of a set of values. A low standard deviation means that the values tend to be close to the mean (also called the expected value) of the set, while a high standard deviation indicates that the values are spread out over a wider range.

2. Confidence Level: This is a measure of the reliability of a statistical result. It's the percentage of all possible samples that can be expected to include the true population parameter. For example, a confidence level of 95% means that if the same population is sampled on numerous occasions, the expected value would lie within the confidence interval in 95% of the cases.

3. Margin of Error: This is a statistic expressing the amount of random sampling error in a survey's results. It asserts a likelihood (not a certainty) that the result from a sample is close to the number one would get if the whole population had been queried.

So, among these three, the standard deviation