Tailed Tests and Errors in Hypothesis Testing

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Tailed Tests and Errors in Hypothesis Testing: Overview

This topic covers concepts, such as, Errors in Statistical Hypothesis Testing, Type I and Type II Errors, One-tailed Test & Two-tailed Test etc.

Important Questions on Tailed Tests and Errors in Hypothesis Testing

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____ is a method in which the critical area of a distribution is two sided

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A two-tailed test, in statistics, is a method in which the critical area of a distribution is

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In one-tailed test the sample mean is

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A one-tailed test is a test set up to show that the sample mean be

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What is the difference between Type I and Type II Errors in hypothesis testing.

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Type II error in hypothesis testing is:

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 What is level of significance with resect to error type

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Rejecting H0 when it is true falls under which error type.

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Every month Susan enters a particular lottery. The lottery company states that the probability, p, of winning a prize is 0.0017 each month. Susan thinks that the probability of winning is higher than this, and carries out a test based on her 12 lottery results in a one-year period. She accepts null hypothesis p=0.0017 if she has no wins in the year and accepts the alternative hypothesis p>0.0017 if she wins a prize in at least one of the 12 months.

If in fact the probability of winning a prize each month is 0.0024, find the probability of the test resulting in a Type II error 

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Every month Susan enters a particular lottery. The lottery company states that the probability, p, of winning a prize is 0.0017 each month. Susan thinks that the probability of winning is higher than this, and carries out a test based on her 12 lottery results in a one-year period. She accepts null hypothesis p=0.0017 if she has no wins in the year and accepts the alternative hypothesis p>0.0017 if she wins a prize in at least one of the 12 months.

Find the probability of the test resulting in a Type I error.

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At the last election 70% of people in the Apoli supported the president. Luigi believes that the same proportion support the president now. Maria believes that the proportion who support the president now is 35%. In order to test who is right, they agree on a hypothesis test, taking Luigi's belief as the null hypothesis. They will ask 6 people from Apoli, chosen at random, and if more than 3 support the president they will accept Luigi's belief.

In fact 2 of the 6 people say that they support the president. State which error, Type I or Type II. Might be made. Explain your answer. (Take 10% significance value)

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At the last election 70% of people in the Apoli supported the president. Luigi believes that the same proportion support the president now. Maria believes that the proportion who support the president now is 35%. In order to test who is right, they agree on a hypothesis test, taking Luigi's belief as the null hypothesis. They will ask 6 people from Apoli, chosen at random, and if more than 3 support the president they will accept Luigi's belief.

If Maria's belief is true, calculate the probability of a Type II error.

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At the last election 70% of people in the Apoli supported the president. Luigi believes that the same proportion support the president now. Maria believes that the proportion who support the president now is 35%. In order to test who is right, they agree on a hypothesis test, taking Luigi's belief as the null hypothesis. They will ask 6 people from Apoli, chosen at random, and if more than 3 support the president they will accept Luigi's belief.

Calculate the probability of a Type I error.

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Jeevan thinks that a six-sided die is biased in favour of six. To test this, Jeevan throws the die 10 times. If the die shows a six on at least 4 throws out of 10, she will conclude that she is correct.

Explain what is meant by a Type II error in this situation.

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Jeevan thinks that a six-sided die is biased in favour of six. To test this, Jeevan throws the die 10 times. If the die shows a six on at least 4 throws out of 10, she will conclude that she is correct.

If the die is actually biased so that the probability of throwing a six is 12, calculate the probability of a Type II error.

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Jeevan thinks that a six-sided die is biased in favour of six. To test this, Jeevan throws the die 10 times. If the die shows a six on at least 4 throws out of 10, she will conclude that she is correct.

Calculate the probability of a Type I error.

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A cereal manufacturer claims that 25% of cereal packets contain a free gift. Lola suspects that the true proportion is less than 25% To test the manufacturer's claim at the 5% significance level, she checks a random sample of 20 packets.

Hence, find the probability of a Type I error.

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A machine is designed to generate random digits between 1 and 5 inclusive. Each digit is supposed to appear with the same probability as the others, but Max claims that the digit 5 is appearing less often than it should. To test this claim the manufacturer uses the machine to generate 25 digits and finds that exactly 1 of these digits is a 5.

State what is meant by a Type II error in this context.

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Marie claims that she can predict the winning horse at the local races. There are eight horses in each race. Nadine thinks that Marie is just guessing, so she proposes a test. She asks Marie to predict the winners of the next ten races and, if she is correct in three or more, Nadine will accept Marie's claim.

State the significance level of the test.

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Marie claims that she can predict the winning horse at the local races. There are eight horses in each race. Nadine thinks that Marie is just guessing, so she proposes a test. She asks Marie to predict the winners of the next ten races and, if she is correct in three or more. Nadine will accept Marie's claim.

Calculate the probability of a Type I error.