Complete Business Statistics by Aczel, Amir D, Sounderpandian, Jayavel, By Amir Aczel Complete Business Statistics 8/E with CD by Amir Aczel [Hardcover. Complete Business Statistics. Front Cover. Amir D. Aczel, Jayavel Sounderpandian. McGraw-Hill/Irwin, – Commercial statistics – pages. Aczel-Sounderpandian: Complete Business Statistics Abridged. Part 1: Principles of Economics. Front Cover. McGraw-Hill, – pages.

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Is there evidence to conclude that the population proportion of all hotels in the country satisfying the standards set by the Small Luxury hotels Association is greater than 0. The power depends on the level of significance of the test: Suppose that you want to carry out a hypothesis test of this claim. Conversely, H 0 will not be rejected whenever x-bar is greater than x-bar crit.

To check compliance with this rule, the EPA collects a random sample of readings at different times and dates within the two-mile range around the plant. An automatic bottling machine fills cola into two liter cc bottles.

Similar analysis can be done when testing for a population proportion. The Null Hypothesis, H sounderpajdian. To use this website, you must agree to our Privacy Policyincluding cookie policy.

Errors in Hypothesis Testing. Suppose the company wants to test whether the new copier has the same average speed as its standard compact copier.

Aczel-Sounderpandian: Complete Business Statistics Abridged. Part 1 – Google Books

When the p-value is greater than 0. Compldte these findings, is there evidence the manufacturer is underfilling the packages? A random sample of 40 bottles coming out of the machine was selected and the exact content of the selected bottles are recorded. If you wish to download it, please recommend it to your friends in any social system. A cojplete sample of packages of the food product is collected, and it is found that the average net weight in the sample is Published by Terence Hopkins Modified over 3 years ago.


Complete Business Statistics – Amir D. Aczel, Jayavel Sounderpandian – Google Books

The management of a hotel that was denied acceptance to the association wanted to prove stwtistics the standards are not as stringent as claimed and that, in fact, the proportion of all hotels in the United States that would qualify is higher than 0. Is maintained, or held to be true, until a test leads to its rejection in favor of the alternative hypothesis.

Trial testimony and evidence Sample data The relationship between the population mean and the power of the test is called the power function. Consider the following null and alternative hypotheses: For example H 0: The consumer group wants, therefore, to test the hypothesis that the average net weight of the product in question is 12 oz. Do not reject H 0 if the sample mean falls within the nonrejection region between the critical points.

It is tossed 25 times and only 8 Heads are observed. The degrees of freedom for this chi-square random variable is n — 1. To make this website work, we log user data and share it with processors. If action is to be taken if a parameter is greater than some value a, then the alternative hypothesis is that the parameter is greater than a, and the test is a right-tailed test.


The p-value is the probability of obtaining a value of the test statistic as extreme as, or more extreme than, the actual value obtained, when the null hypothesis is true. Picturing the Nonrejection and Rejection Regions 0. Tests of hypotheses about population proportions.

Set the null and alternative hypotheses: The rejection region, also called the critical region, is defined by the critical points. In a two-tailed test, the p-value is twice the area to the right of a positive test statistic or to the left of a negative test statistic.


When the p-value is smaller than 0. We may have a decision rule that says: In this instance, the nonrejection region does not include the observed sample mean, and the confidence interval does not include the hypothesized population mean. The average speed of the standard compact system copier is 27 copies per minute.

Two-Tailed Tests 0. Cases in which the binomial distribution can be used The binomial distribution can be used whenever we are able to calculate the necessary binomial probabilities. Thus, when we reject a null hypothesis, we have a high level of confidence in our decision, since we know there is a small probability that we have made an error.

Chapter Hypothesis Tests Regarding a Parameter H 0 is true H 0 is false There are two possible decisions: Similar analysis can be done when testing a population proportion.

Tests of hypotheses about population variances. A random sample of 21 floodlight elements is chosen and shows that the sample average is The power depends on the population standard deviation: Reject H 0 if the sample mean falls outside the nonrejection region. Sratistics project SlidePlayer Terms of Service. The sample mean was The power depends on the sample size used: Is there evidence to conclude that the plant in question is violating the law?

My presentations Profile Feedback Log out. Feedback Privacy Policy Feedback. That is, the nonrejection region includes all sample means that are not significantly different, in a statistical sense, from the hypothesized mean.