Lance wrote:Google Earth has a pretty accurate measure function.
tubeswell wrote:Then take 30 measurements of the angle in order to get a representative statistical sample that you can use to estimate the population mean and variance for a normal distribution, and use that.
Lianachan wrote:I seem to be the only one here who'd do the whole thing just with maps.
Мастер wrote:tubeswell wrote:Then take 30 measurements of the angle in order to get a representative statistical sample that you can use to estimate the population mean and variance for a normal distribution, and use that.
That only works if there is no systematic bias in the measurement.
Мастер wrote:So I think I can see into another country from my spare bedroom window - can anyone else here do that?
tubeswell wrote:Мастер wrote:tubeswell wrote:Then take 30 measurements of the angle in order to get a representative statistical sample that you can use to estimate the population mean and variance for a normal distribution, and use that.
That only works if there is no systematic bias in the measurement.
Try taking each set of samples on different days of the week, under different atmospheric conditions, wearing different glasses and drinking different types of whiskey. And then test for goodness of fit.
Lance wrote:Мастер wrote:So I think I can see into another country from my spare bedroom window - can anyone else here do that?
When I lived in Wisconsin I could see Illinois from my house. Does that count?
tubeswell wrote:When I said goodness of fit I meant test the sample to see if the SD of the sample approaches the SD in a normal distribution.
tubeswell wrote:I will have to consult my old study notes for stats. My recollection is that if you suspect that your sample statistics are skewed or not normally distributed, you test the sample stats for goodness of fit.
Мастер wrote:tubeswell wrote:I will have to consult my old study notes for stats. My recollection is that if you suspect that your sample statistics are skewed or not normally distributed, you test the sample stats for goodness of fit.
Ah yes, one could do that. A normal distribution has a skewness of zero. However, the thing I need to know is not whether my observations come from a skewed, kurtotic, or otherwise non-normal distribution, but whether they are unbiased - is the mean or expected value of my observation equal to the true value of the thing being measured. Testing for normality won't tell me that.
tubeswell wrote:But my earlier proposition to take several (systematically random) sample sets of measurements, and then analyse the variance between the samples could give more confidence about the mean and SD in the statistics, and thus by inference in the population - could it not?
Enzo wrote:The trig function works horizontally, but not from one window. If you could look at it from a known distance to the side, a rooftop next door perhaps, and note the difference in angle compared to your window view, you can calculate the diference in angle int a distance figure. Same parallax process we use for parsecs. The Macsec. A Mactep-ocentric parallax of some amount.
Мастер wrote:So I think I can see into another country from my spare bedroom window - can anyone else here do that?
Мастер wrote:But, I am pretty sure that I have answered the question using a method similar to Lianachan's - I looked at the topographic map, searched in the general direction of these hills for anything that looked like a tall hill within a whole bunch of km, and I only found one place.
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