The bullseye metaphor works well for teaching accuracy, but not precision. Accuracy describes the quality of measures [accurate:the data contain no or acceptable small errors, inaccurate: the data contain unacceptable large errors]. Precision describes the quality of the measuring method [precise:the method produces repeatable and consistent measures, imprecise: the method does not ... ]. The bullseye metaphor leads learners to understand incorrectly that both terms are describe data quality.
Because you can't measure the curvature at one single point. Earth is huge, it is only when you put a series of measurements together that you need to start accounting for the curvature of the Earth.
The bullseye metaphor always works well for teaching accuracy, but not precision. Accuracy describes the quality of measures {(accurate:the data contain no or acceptable small errors), (inaccurate: the data contain unacceptable large errors)}. Precision describes the quality of the measuring method {(precise:the method produces repeatable and consistent measures), (imprecise: the method does not ...)]. The bullseye metaphor presented in the video leads learners to believe that both terms are used to describe data.
The bullseye metaphor always works well for teaching accuracy, but not precision. Accuracy describes the quality of measures [accurate:the data contain no or acceptable small errors, inaccurate: the data contain unacceptable large errors]. Precision describes the quality of the measuring method [precise:the method produces repeatable and consistent measures, imprecise: the method does not ... ]. The bullseye metaphor presented in the video leads learners to believe incorrectly that both terms are used to describe data.
And yet everyone who actually knows what they are talking about disagrees with you. It's almost like you are an idiot that doesn't have a clue what he is talking about.
The bullseye metaphor always works well for teaching accuracy, but not precision. Accuracy describes the quality of measures {(accurate:the data contain no or acceptable small errors), (inaccurate: the data contain unacceptable large errors)}. Precision describes the quality of the measuring method {(precise:the method produces repeatable and consistent measures), (imprecise: the method does not ...)]. The bullseye metaphor presented in the video leads learners to believe that both terms are used to describe data.
This is a concisely informative overview of the concept of Geodesy! 👏🏾
I find this information useful and helpful. Thanks to the people who made this so easy to understand.
The bullseye metaphor works well for teaching accuracy, but not precision. Accuracy describes the quality of measures [accurate:the data contain no or acceptable small errors, inaccurate: the data contain unacceptable large errors]. Precision describes the quality of the measuring method [precise:the method produces repeatable and consistent measures, imprecise: the method does not ... ]. The bullseye metaphor leads learners to understand incorrectly that both terms are describe data quality.
crystal clear to know about accuracy and precision, thank you so much....
finally clear the term accuracy and precision (Y)
Quick question. Why is the earth curvature only corrected after the surveying? Like why can’t they measure the earths curvature?
Elevation ANGLES 👌
Because you can't measure the curvature at one single point. Earth is huge, it is only when you put a series of measurements together that you need to start accounting for the curvature of the Earth.
Because the earth is flat lmao
Nicely done!
The bullseye metaphor always works well for teaching accuracy, but not precision. Accuracy describes the quality of measures {(accurate:the data contain no or acceptable small errors), (inaccurate: the data contain unacceptable large errors)}. Precision describes the quality of the measuring method {(precise:the method produces repeatable and consistent measures), (imprecise: the method does not ...)]. The bullseye metaphor presented in the video leads learners to believe that both terms are used to describe data.
The bullseye metaphor always works well for teaching accuracy, but not precision. Accuracy describes the quality of measures [accurate:the data contain no or acceptable small errors, inaccurate: the data contain unacceptable large errors]. Precision describes the quality of the measuring method [precise:the method produces repeatable and consistent measures, imprecise: the method does not ... ]. The bullseye metaphor presented in the video leads learners to believe incorrectly that both terms are used to describe data.
hey! nice video bro! geodesyyyyyyy is supwer extra cool
Good
Ayoo siapa yang sedang diklat PPSDM
See those LINES w a VERTEX??? CANNOT happen on a sphere.
There is no such thing as a right angle on a globes surface.
And yet everyone who actually knows what they are talking about disagrees with you. It's almost like you are an idiot that doesn't have a clue what he is talking about.
This is why we divide the earth into many different coordinate systems that are small and have minimal distortion.
The bullseye metaphor always works well for teaching accuracy, but not precision. Accuracy describes the quality of measures {(accurate:the data contain no or acceptable small errors), (inaccurate: the data contain unacceptable large errors)}. Precision describes the quality of the measuring method {(precise:the method produces repeatable and consistent measures), (imprecise: the method does not ...)]. The bullseye metaphor presented in the video leads learners to believe that both terms are used to describe data.