Yes or anything that gives a measurement
Hairiness is measured in two different methods.Uster Hairiness IndexZweigle Hairiness Index1. Uster Hairiness Index: - This is the common method followed in India. The hairiness index H corresponds to the total length of protruding fibres within the measurement field of 1cm length of the yarn.2. Zweigle Hairiness Index: - This zweigle hairiness measurement gives the number of protruding fibers more than 3 mm in length in a measurement length of one meter of the yarn.From the above we can infer that Uster hairiness index give the total length of hairs whereas zweigle hairiness testers give the absolute number of fibers. Though the later measurement is more accurate, most of the Indian spinners are still following Uster hairiness index only.
In mathematics, the word precision is used to describe the total number of digits (the number of significant figures) used in a number to approximate another number. For example, given a number 145.37823 the number 145 approximates the previous number with a precision of 3, and 145.3782 approximates it with a precision of 7. In other words, in maths, at least arithmetically speaking, precision is just another word for significant figures. In statistics, precision is usually a measurement of how well a measurement system gives consistent results, and is the reciprocal of variance.
Every odd number. Multiplying two even numbers gives an even number. Multiplying an odd and an even number gives an even number. Multiplying two odd numbers gives an odd number.
25
The profile measurement using a profile project gives the accurate length of a given a profile. A profile projector provides a very accurate profile measurement of the same.
No. Accurate relates to how close the actual measurement the instrument measures. Precise relates to how much detail the instrument gives when measuring. They are independent to each other: An measurement can be precise and accurate (eg the value of π is 3.141592654) An measurement can be precise and inaccurate (eg the value of π is 1.733677432) An measurement can be less precise and accurate (eg the value of π is 3.14) An measurement can be less precise and inaccurate (eg the value of π is 1.73).
Significant figures indicate the extent to which a number is useful. This can show how accurate a figure is because the fewer significant figures, the less accurate it is likely to be, and the more significant figures, the more accurate it is likely to be. For instance, if someone gives their height as 6'1" this is likely to be very roughly accurate. If someone gives the height as "about 6 foot" then this is even rougher. If a doctor measures someone with special tools before very delicate surgery which requires precision, and gives their height as 6'0.82736" this is going to be very accurate.
The part of an analog scale that gives the most accurate reading is typically the pointer or needle. This is because the pointer directly indicates the measurement on the scale, making it easier to read the value precisely.
Large number can reduce the error. It gives a sharper result
It's the number of people per square mile or square kilometer.
Rough titration is an initial estimation to determine the approximate endpoint of a titration, while accurate titration involves fine adjustments to precisely determine the endpoint. Rough titration is typically done quickly and gives a ballpark figure, whereas accurate titration is more meticulous and provides a precise measurement.
advantage it helps u know the direction of your measurement in relation to magnetic bearing disadvantage it is affected by the weather
There are a lot of possible categories here but I'll assume you're talking about measurment. If you measure something (like length) with a reliable measuring device then, assuming no measurement error, your measurement will generally have two parts. The accurate part is the amount you can measure exactly with your device and the approximate part is the ammount you have to estimate when the measurement is not exactly equal to a scale division on your measuring device. So if you measure something with a ruler marked off in centimeters and the length falls between 2 and 3 cm, you have to estimate where between 2 & 3 it lies. If you decide its 2.8 cm then the 2 is considered accurate but the 8 is an approximation. If you combine (multiplication, division, addition etc) two measurements, your answer can be no more accurate then the least accurate measurement For example; multipling 2.8 times 3.4 , where the 8 and 4 are approximate, gives 9.52. This is implies more accuracy then you really have and should be rounded off to 9.5.
gives a standardized unit that tells how far away each measurement is from the mean
A properly calibrated instrument should give the same reading each time it makes the same measurement under the same conditions. This ensures accuracy and reliability in obtaining consistent data.
A measurement that can be repeated by an independent person or team of investigators.A measurement that includes the margin of error and resolution of the measuring equipment.