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a. Functions can have only one parameter. b. The order in which the parameters are defined matters. c. Parameters can be passed to a function in any order. d. Parameters have no order.
h parameters of common emiter in terms of common base and viceversa
You can have a function with no parameters.
Rectifiers have two parameters of interest - maximum forward current - and maximum reverse voltage. A rectifier is generally chosen based on these two parameters. Other parameters include turn-on/turn-off time, forward voltage drop, and capacitance. The importance of these and other parameters depends on the circuit design requirements.
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You get the rebreather in Nellis Air Force Base and you can use it to breathe underwater. You can either gather supplies to make it or with a certain science level you can skip this step entirely.
The mean and standard deviation.
Normal. In some parameters, even better than neighboring countries.
Normal. In some parameters, even better than neighboring countries.
partial rebreather mask with attached with 1L reservoir bag that saves 1/3 of exhaled air, while rest gets out via ports covered with one-way valve. This allows patient to rebreathe some of the carbon dioxide, which acts as stimulator of breathing.
Nothing would happen to the plant. It will have a normal growth provided other parameters are normal.
z-scores are distributed according to the standard normal distribution. That is, with the parameters: mean 0 and variance 1.
mode and skew
Mean and Standard Deviation
The normal distribution has two parameters, the mean and the standard deviation Once we know these parameters, we know everything we need to know about a particular normal distribution. This is a very nice feature for a distribution to have. Also, the mean, median and mode are all the same in the normal distribution. Also, the normal distribution is important in the central limit theorem. These and many other facts make the normal distribution a nice distribution to have in statistics.
Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.