Given an infinite population that does not meet the conditions of a normal distribution, samples taken at random will also not be normally distributed regardless of sample size.

true
false

False

Step-by-step explanation:

The central limit theorem says that if a sufficient large sample is taken from a population with finite variance, the mean of all the samples will be the population mean.

IN other words, irrespective of the original distribution from where samples were drawn, the mean of all samples for large sample sizes will follow a normal distribution.

Hence the given statement is false.

For sample sizes large, we can expect samples will have mean that follows a normal distribution.

answer: finding the extract measurements and knowing the points

step-by-step explanation:

image result for what is another name for consecutive interior angles? ​

when two lines are crossed by another line (called the transversal): the pairs of angles on one side of the transversal but inside the two lines are called consecutive interior angles. in this example, these are consecutive interior angles: d and f.

step-by-step explanation: