The data with a higher percent error is _____________.a.more preciseb.less precisec.less accurated.more accurate

It is important to have a small percent error in your measurement because the smaller the percent error, ________________.a.the more accurate the measurement isb.the more precise the measuring device usedc.the more precise the measurement isd.the more likely that the measurement is similar to classmates' measurement

Which of the following is an example of high precision but low accuracy?Select one:a.Measurements that are close to each other but far from the target valueb.Measurements that are close to each other and close to the target valuec.Measurements that are spread out but close to the target valued.Measurements that are spread out and far from the target value

What happens to the accuracy of data as the percent error decreases?a.It remains the same.b.It increases then decreases.c.It decreases.d.It increases.

Accuracy is a measure of closeness of measured values to each other.a.Trueb.False

Accuracy and PrecisionThe quality of experimental results can be categorised by two terms:Accuracy:  how closely the measured value of a quantity corresponds to its “true” or "accepted" value.Precision: the degree of reproducibility or agreement between repeated measurements.These two terms can be mutually exclusive (ie one term can occur irrespective of the outcome of the other term).  So the results could lay somewhere in amongst these four scenarios:accurate and precise,accurate and imprecise,inaccurate but precise, orinaccurate and imprecise. This is demonstrated graphically in the graphic to the right using targets.  The bullseye is the "true" value we are hoping to achieve. When the average of the results lands on (or around) the bullseye, we consider it an accurate result - this is represented by the top two targets.  Even though no results landed on the bullseye of the top-left target, on average, we are "hitting the bullseye" - if we increase the number of results, we will eventually hit the target.  However, because our results are imprecise, and there is a  large area this shot could land, we would not be confident on predicting when this event will likely occur. The ability that we can consistently land in the same region of the target is known as a precise result - this is represented by the two targets on the right.  Even though the bottom-right target is clearly missing the bullseye (inaccurate), we are confident in the value we are consistently achieving.  If we increase the number of results, we would be confident in predicting the location our next shot will land.   Let's identify these scenarios in a laboratory environment.  Let's say there are four pH meters in the laboratory.  You test the pH of the first one by submerging the electrode in a certified pH 7.00 reference buffer (See image on to the left).  You rinse the electrode with deonised water and then re-submerge it in the pH 7.00 reference buffer again.  You repeat this 3 more times to get a set of 5 values for this pH meter.  You repeat this again with the other three pH meters to obtain a set of five pH readings per pH meter.  You get the following results below.  Select the answer as to whether the set of results for each pH meter was accurate and/or precise. pH meter #1: 7.00, 7.01, 7.00, 6.99, 6.99 pH meter #2: 7.00, 6.89, 6.98, 7.10, 7.03 pH meter #3: 6.60, 6.58, 6.60, 6.61, 6.62 pH meter #4: 7.64, 7.81, 7.52, 7.67, 7.92