Use the continuity correction when using the normal distribution to approximate a binomial distribution to take into account the binomial is a discrete distribution and the normal distribution is continuous.
Yes, the normal distribution, standard or not is always continuous.
yes, it's always symmetric
In parametric statistical analysis we always have some probability distributions such as Normal, Binomial, Poisson uniform etc.In statistics we always work with data. So Probability distribution means "from which distribution the data are?
The standard deviation in a standard normal distribution is 1.
Yes it does.
A hill always pulls up on the mass
It is a subordinate clause. Correction: The coffee shop down the street has the friendliest service, but it is always crowded.
The normal distribution is always continuous.
Yes, the normal distribution, standard or not is always continuous.
The Canon flash-based camcorder doesn't have shake correction, but you can always fix this if you postprocess.
If the distribution is positively skewed distribution, the mean will always be the highest estimate of central tendency and the mode will always be the lowest estimate of central tendency. This is true if we assume the distribution has a single mode.
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No.
The range of a distribution is the difference between the largest number in the range and the smaller number. ?æThe number will always be positive, but may not always be whole.
yes, it's always symmetric
The statement is false. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
The distribution of sample means will not be normal if the number of samples does not reach 30.