Distributor, Random Sample, and Hypothesis Testing

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  368826 Importance of random sample and use in hypothesis testing Why is it important that a sample be random and representative when conducting hypothesis testing?

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  The null and alternate hypotheses are: H0:µ1= µ2 H1:µ1 ≠µ2 A random sample of 15 observations from the first population revealed a sample mean of 350 and a sample standard deviation of 12.

• Production process of average weight

  What is the alternative hypothesis for testing whether the fruit drink distributor should sell this drink?

• This posting provides a step-by-step process of testing hypothesis

  p-value A random sample of 10 observations from one population revealed a sample mean of 23 and a sample deviation of 4.

• Confidence interval and chi square hypothesis test for variance

  210752 Confidence interval and chi square hypothesis test for variance A random sample of 10 observations has been drawn from a normal population, and the sample variance is found to be s^2 = 19.5.

• Hypothesis testing for the difference of population proportions

  By self selecting the houses that have pools, you are no longer taking a random sample, which voids one of the major conditions when doing hypothesis testing. Best of luck! This solution provides an explanation for hypothesis testing

• The Purposes of a Hypothesis Test

  If you are testing the hypothesis H0: population proportion is .5 H1: population proportion is not .5, and you get .52 for the sample proportion, can you reject the null hypothesis? Why or why not?

• Testing Hypothesis

  A random sample of 100 babies is obtained, and the mean head circumference is found to be 40.6 cm.

• Hypothesis Testing (Z Testing)

  Wanting to prove his belief he collected a random sample of 64 potential buyers of his product and found on average they were willing to pay $1200 with a sample standard deviation of 100.