Bimodal. We are sampling randomly from a distributionknown to be bimodal.a) As our sample size increases, what’s the expectedshape of the sample’s distribution?b) What’s the expected value of our sample’s mean?Does the size of the sample matter?c) How is the variability of sample means related to thestandard deviation of the population? Does the size ofthe sample matter?d) How is the shape of the sampling distribution modelaffected by the sample size?
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Bimodal. We are sampling randomly from a distribution
known to be bimodal.
a) As our sample size increases, what’s the expected
shape of the sample’s distribution?
b) What’s the
Does the
c) How is the variability of sample means related to the
standard deviation of the population? Does the size of
the sample matter?
d) How is the shape of the sampling distribution model
affected by the sample size?
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 1 images
