Far point- it is the range till where our eyes can see and in a normal human being it is infinity.
Near point- it is the nearest possible distance from our eye till which we can see an object clearly. it is 25 cm in human.
Assuming that these are adult protein values in g/dL (you crazy yankees), all the values fall within normal ranges.
100°C (the definition of 100 degrees Celsius is the triple point of water) By "normal" I assume you mean standard pressure.
really it depends on what you mean by values but i say its wisdom,assurence,and love
They are the smallest and largest values a function can take on in it's domain. So if f(x) is a function, and the max value occurs at a point A, then f(A) is the max and similarly with the min.
normal characteristics
It means to be normal; the way you where intended to be, because ALL people make mistakes. making mistakes is apart of human nature.
mean, median and mode
34.1% of the data values fall between (mean-1sd) and the mean.
it depends on what you mean by normal, if you mean they act human like edward did b4 he met bella, then yes. if you mean they bcum human again, ur wrong
Not sure what you mean by "normal", but these might help:Melting Point: 44.15°CBoiling Point: 280.5°C
The data from a normal distribution are symmetric about its mean, not about zero. There is, therefore nothing strange about all the values being negative.
Yes. If much of your data has negative values, it's likely that the mean will be negative, too.
The mean of the 6th and 7th values
Approximately 2 standard deviations (1.96, actually) from the mean. That is important to know that if one has a sample of 1000 values, if one selects a threshold at +/- 2 standard deviations from the mean, then one expects to see about 25 values exceeding those thresholds (on each side of the mean)
The Empirical Rule states that 68% of the data falls within 1 standard deviation from the mean. Since 1000 data values are given, take .68*1000 and you have 680 values are within 1 standard deviation from the mean.
for a normal-shaped distribution with n=50 and siqma =8 : a- what proportion of the scores have values between 46 and 54? b- for samples of n= 4, what means have values what proportion of the sample mean have values between 46 and 54? c- for samples of n= 16, what means have values what proportion of the sample mean have values between 46 and 54?
It gives an indication of the spread in the values: are they all very close to the mean value or scattered across a wide range of values? That is important in determining how accurate your point estimate of the mean is.