A good way to assess what is a reasonable interval when graphing data is to see if there are any common factors in the data set. In this case 5, 10, 30, 40 and 20 are all clearly divisible by 5. Therefore, 5 would be a reasonable interval to use when graphing the data.
Time is ratio data because it has a true, meaningful data. You can say that at time 20 seconds, it is twice the amount of time than 10 seconds. Interval data doesn't have a true zero e.g. degrees celcius. Although you can say 60 degrees is hotter than 30 degrees you can't say that it is twice as hot.
157.93 plus 104.52 = 262.45Rounding to the nearest hundred this becomes 300. Rounding to the nearest ten this becomes 260.In this instance rounding to the nearest ten is more reasonable.
It is: 10 m
The -4 would be 4 spaces to the left of 0, or the center point and the 10 is 10 spaces up from there.
No, it misses the mark by more than a power of 10.
choose 5, 10, 25, or 100 as the most reasonable interval for 201, 450, 550, 600, 799
to find an interval you have to subtract the first two number from each other for example 5 10 15 20 the interval for this set of data is 5
Time is ratio data because it has a true, meaningful data. You can say that at time 20 seconds, it is twice the amount of time than 10 seconds. Interval data doesn't have a true zero e.g. degrees celcius. Although you can say 60 degrees is hotter than 30 degrees you can't say that it is twice as hot.
I went out for interval for 10 minutes.
The mode can be very useful for dealing with categorical data. For example, if a sandwich shop sells 10 different types of sandwiches, the mode would represent the most popular sandwich. The mode also can be used with ordinal, interval, and ratio data. However, in interval and ratio scales, the data may be spread thinly with no data points having the same value. In such cases, the mode may not exist or may not be very meaningful. www.quickmba.com/stats/centralten/
An interval is the spacing of time. For example: I ran for an interval of 10 minutes then walked for an interval of 30 minutes. Or each car has an interval of 0.5 seconds.
lunitidal interval is 1:10 for London
An interval is the spacing of time. For example: I ran for an interval of 10 minutes then walked for an interval of 30 minutes. Or each car has an interval of 0.5 seconds.
lunitidal interval hrs of Singapre is 10:20
n order to fit the Poisson distribution, we must estimate a value for λ from the observed data. Since the average count in a 10-second interval was 8.392, we take this as an estimate of λ (recall that the E(X) = λ) and denote it by ˆλ.
5, 10 , 15, 20
No. of quantization levels = 2^10 = 1024Voltage range = 10VQuantization interval = 10/1024 = 9.77 mV / level.