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Difference between interval scale and ratio scale?
an ratio scale is where both measurements are in the same unit of measurement and an interval scale is where they are not. i dont know if this helps at all but we are learning about it in maths at the moment and that is the easiest way for me to understand it Beside the features of interval scales, ratio scale carries zero point measurements. Means that the zero value is considered when we do the measurement in ratio scales. Say that it is not only differ between 1 to 10, but there is also different to compare two intervals between 1 to 10, and 100,001 to 100,010 when we measure them (intervals) starting from zero point scales. * * * * * Unfortunately, the first paragraph above is nonsense. An interval scale is one in which the difference between two points can be quantified numerically. However, the zero is arbitrary. The Celsius and scale is an example. The difference between 1 deg C and 3 deg C is twice the difference between 7 deg and 8 deg. But 3 deg C is not 3 times as hot/cold as 1 deg C. A ratio scale is an interval scale with the added requirement of a non-arbitrary zero point such that the value of 3 is three times the value of 1. The Kelvin scale meets those requirements. Scales in common use, that are not interval are the Richter scale (earthquakes) or Beaufort (wind speeds) where the points on the scale are indicators of outcomes.
What unit of measurement ordinal nominal interval or ratio is martial status?
nominal
How can changing the interval on a bar graph change the way it is interpreted?
Let's say you have 2 bars, one of which is 5 and one of which is 15 (units not important). If you have the interval at 1 unit, then both bars would be relatively large. If you set the interval at 10 units, however, the bars suddenly seem much smaller. It's not because they ARE smaller, but because the interval makes them appear as such. So if someone wanted to skew a statistic, such as "Number of deaths by cigarettes in 2009", they could set the interval at a high number to make it appear to be a smaller bar, which gives the impression that it's not that big of a deal. Conversely, if they wanted to skew a statistic the other way, such as "Units Produced in March", they could set the interval at a very low number which would make the bar appear very large, giving the effect of a large amount produced.
Data on a computer is measured in bits Which answer correctly shows measurements from the smallest to the largest?
Bits are the smallest unit of measurement of computer data. 8 bits (b) = 1 byte(B). 1024 bytes(B) = 1 kilobyte (kB). 1024 kB = 1 megabyte (MB) etc..
What is a continuous random variable?
In the simplest setting, a continuous random variable is one that can assume any value on some interval of the real numbers. For example, a uniform random variable is often defined on the unit interval [0,1], which means that this random variable could assume any value between 0 and 1, including 0 and 1. Some possibilities would be 1/3, 0.3214, pi/4, e/5, and so on ... in other words, any of the numbers in that interval. As another example, a normal random variable can assume any value between -infinity and +infinity (another interval). Most of these values would be extremely unlikely to occur but they would be possible. The random variable could assume values of 3, -10000, pi, 1000*pi, e*e, ... any possible value in the real numbers. It is also possible to define continue random variables that assume values on the entire (x,y) plane, or just on the circumference of a circle, or anywhere that you can imagine that is essentially equivalent (in some sense) to pieces of a real line.
