- IB
- Question Type 10: Calculating the probability of a type 1 error under a critical region for a binomial or poisson distribution
Suppose represents the count of events occurring over a 2-hour interval. A hypothesis test is performed with the null hypothesis and the alternative hypothesis . The null hypothesis is rejected if .
Calculate the significance level, , for this test.
[3]A sample of items is taken from a population where the number of successes follows a binomial distribution . The null hypothesis is tested against the alternative hypothesis . The null hypothesis is rejected if .
Calculate the probability of a Type I error, .
[3]Let . You decide to reject in favour of when . Determine the Type I error, .
[4]This question assesses understanding of Type I errors in the context of a binomial hypothesis test.
In a quality control process, a random variable follows a binomial distribution such that . A hypothesis test is performed with the null hypothesis against the alternative hypothesis . The null hypothesis is rejected if .
Find the probability of a Type I error.
[5]Let follow a Poisson distribution with mean , such that . A hypothesis test is conducted with and . The null hypothesis is rejected when .
Calculate the probability of a type I error, .
[3]For , consider the two-sided test vs with critical region . Compute the overall type I error .
[4]For a batch of components, let . You decide to reject in favour of if . Calculate the probability of a Type I error, .
[3]Let . The null hypothesis is rejected in favour of when .
Determine the probability of a Type I error, .
[3]For , consider a two-sided test of with the critical region . Calculate the significance level of the test, (the probability of a Type I error).
[4]In a time interval of 10 hours, the number of events follows . You wish to test against and reject if . Find the significance level, .
[3]For , test against and reject if . Compute the probability of a type I error, .
[4]The random variable follows a binomial distribution . A hypothesis test is conducted to determine if the probability has decreased from its null value.
For , test vs with a critical region defined by . Calculate the Type I error, , for this test.
[4]