Codes from the Manual:
E-1: Temperature is too hot or too cold for the system to work properly. Move your monitor and test strips to a location where the temperature is appropriate and monitor again with a new test strip. You may have to wait for your monitor to adjust to the new temperature. Refer to your test strip instructions for use for the appropriate operating range. If the error message appears again, contact Customer Care.
E-2: Monitor error. Turn the monitor off, then repeat previous monitoring steps. If the error message appears again, contact Customer Care.
E-3: There may be a problem with the test strip. Review the monitoring instructions. Monitor again with a new test strip. If the error message appears again, contact Customer Care.
E-4: Blood glucose result may be too high to be read by the system. OR There may be a problem with the blood glucose or blood ß-Ketone test strip. Monitor again with a new test strip. If the error message appears again, contact your healthcare professional immediately.
E-5: Blood applied to test strip too soon. Review the monitoring instructions. Monitor again with a new test strip. If the error message appears again, contact Customer Care
E-6: Calibration/Test strip error. Repeat the calibration using the calibrator bar that came with the test strip you are using. Check the date setting on your monitor. Check the expiration date on the test strip foil packet. If the error message appears again, contact Customer Care.
E-7: Test strip error. Test strip is damaged, used, or the monitor does not recognize it. Monitor again using a test strip designed for use with Precision Xtra. If the error message appears again, contact Customer Care.
E-8: Monitor error. Remove test strip, turn monitor off, and try to monitor again. If the error message appears again, contact Customer Care.
E-9: Monitor error. Remove test strip, turn monitor off, and try to monitor again. If the error message appears again, contact Customer Care.
Customer Care: (800) 527-3339
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first you must find the precision. that is the smallest possible unit of the smallest measurement. in this case the smallest measurement is 5/10ths. the smallest possible unit is 1/10. so 1/10 is the precision. to find the greatest possible error you have to multiply the precision (1/10) by 1/2. and you get 1/20. the greatest possible error is 1/20. another example: find the greatest possible error of both 6 and 3.214. for 6 the smallest unit would be 1 because you can go lower than one without going to the next unit down. so we then take one and multiply it by 1/2. one half is also 0.5. 1 multiplied by 1/2 is 1/2, therefore, the greatest possible error of 6 is 1/2 or 0.5. for the next number take the smallest unit of 214/1000, which is what .214 is. the smallest measurement would be 1/1000. that is our precision. the greatest possible error is one half (1/2) of the precision, or, 1/1000 x 1/2, which equals 1/2000. the greatest possible error of 3.214 is 1/2000. it's kind of confusing. i hope this helped. first it helps to understand the precision. then from there the gpe is half of the precision.
That depends a lot on the application. In electronic circuits, an error of 5-10% or even more is often acceptable; for some applications, you need a much greater precision - even a millionth or less in some cases.
there are a thousand millimeters in a meter An easier way to do this would be to break it down first. we know that there are 100 centimeters in a meter. we also know that there are 10 millimeters in a centimeter. so 10(millimeters in a centimeter) x(times) 100(centimeters in a meter) ...10x100=1000 one thousand millimeters in a meter :) ++++ :(. That is NOT the easier way! Learn what the prefixes mean, instead. The prefix tells you the multiplier, so 'milli' means one-thousandth therefore to turn metres to millimetres multiply them by 1000. You do NOT break a simple, linear conversion into intermediate steps because that makes additional, extra work and increases the risk of error. You may need to use intermediate steps for more unwieldy calculations involving mixed dimensions, but for straight linear conversions just use the prefix-value directly.
That depends a lot on the application. In some cases, a 10% error (or even more) may be acceptable, in other, 1%, in others, you need a much higher precision. Generally, a %Error of approximately 5% is regarded as accurate. However, this is only a guideline for small experiments or data sets. Also, one should ensure that the relative standard deviation is less than 5% also. This ensures that the data set is precise.
Accuracy describes the correlation between the measured value and the accepted value. The accuracy of a measurement, or set of measurements, can be expressed in terms of error: The larger the error is, the less accurate is the measurement. Precisiondescribes the reproducibility of a measurement. To evaluate the precision of a set of measurements, start by finding the deviation of each individual measurement in the set from the average of all the measurements in the set: Note that deviation is always positive because the vertical lines in the formula represent absolute value. The average of all the deviations in the set is called the average deviation. The larger the average deviation is, the less precise is the data set.