Which best describes the error in data collection

Error (statistical error) describes the difference between a value obtained from a data collection process and the 'true' value for the population. The greater the error, the less representative the data are of the population. Data can be affected by two types of error: sampling error and non-sampling error

Explanation:.

The correct answer is the standard deviation of the sample distribution.

Explanation:

The standard error is the standard deviation of the sample distribution of a sample statistic. The term also refers to an estimate of the standard deviation, derived from a particular sample used to compute the estimate. The larger the error, the less representative the population data.  Data can be affected by two types of error: sampling error and non-sampling error.

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when [oh-] is 10-5  m, and [h3o+] is 10-9  m, the poh is 5 and ph is 9. again in both cases the sum of ph and poh is 14. however, the hydrogen ion concentration is not always going to be equal to exactly 1 x 10 raised to a negative number. for example, we skipped over the value of 2.0 x 10-7.