Which statement about sampling error is inaccurate? Sampling error is a measure of degree to which a sample accurately estimates what the population is thinking.
Sampling error decreases as the size of the sample increases.
Sampling error is largely a function of the size of the population being sampled—for example, a much larger sample is required to obtain the same sampling error for a state than for a city within that state.
Sampling error results from the fact that a sample is being used to estimate what the entire population is thinking.

First statement

Explanation:

Sampling error is not an accurate estimate of what a population is thinking. Sampling error is a statistical error about a group of people. For example, if you only asked a certain sex about something, and assumed everyone else thought the same way, that would be a statistical sampling error

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the answer is a wheel