Hi I could kindly use your help with question 1. below

Every hypothesis test begins with a hypothesis--actually a pair of hypotheses, called the null and alternate hypotheses. These are statements about a population parameter, usually a population mean or proportion.

Many years ago there was a student who worked for a company that produced single serve powdered drink mixes that contained, among other things, 500 mg of vitamin C. Suppose you are the QA tester for this company and you want to verify the claim that your products contain > 500 mg per single serve pouch.

You make a statement about the entire population of drink mixes created in a single lot in the form of a pair of hypotheses. The alternate is what you want to prove, so we'll write it first:

Ha: mu > 500 (where mu = Greek letter mu used to designate the population mean)

Your alternate hypothesis represents the condition you are trying to prove, so you assume the opposite, that the population mean is actually > or = 500:

Ho: mu > 500

This is a one-tailed hypothesis test because the alternate hypothesis has a < sign, and you know it's a left-tailed test because the < points to the left.

1. Come up with an example (or use this example) to illustrate a 2-tailed hypothesis test?