test values

Find the F-test value for testing the difference between two population variances. The data shows the two samples from each of the populations. => 1.11 or 0.63 or 2.38 or 2.16..

What type of decision is reached when the test value of the statistic falls in the non critical region, when a false null hypothesis is being tested? => decision cannot be determined from the given information or type I error or correct decision or type II error..

The data shows the deaths related to bad weather over 6 years. Find the F-test value and verify whether the variances differ at 90% confidence level. => 7.68, differ or 9.33, do not differ or 5.05, differ or 4.96, do not differ..

If the degrees of freedom of the numerator is 15 and that of the denominator is 24 for testing the variances of two populations using F-test, then find the test value and the critical value at 95% confidence. The sample variances are 45 and 78. => 2..

Which is/are chosen before the experiment is conducted in a statistical hypothesis test? I. α level II. Test value => both I and II or neither I nor II or II only or I only..

In a competition, John eats 20 toffees out of 30 and Joseph eats 25 out of 45 in 30 minutes. At 90% confidence level, find the test value and check whether both the proportions differ significantly or not. => 0.324, the proportions do not differ or 0.953, the proportions do not ..

The number of working hours of an organisation is 54 per 6 days and that for another organisation is 176 per 30 days. Find the test value and verify if the proportions differ significantly at 99% confidence. => 2.58,, the proportions do not differ or 80.52, the proportions diffe..

A sample of 150 people out of 240 from an industrial community and 60 out of 90 people from a rural communtiy suffered from a lung disease. At 90% confidence level, find the test value and verify if their proportions differ significantly. => 0.708, the proportions do not differ ..

In 200 tosses of a coin, 104 heads and 96 tails were observed. At α = 0.05, find the chi-square test value and test the hypothesis that the coin is fair. => 0.32, the coin is not fair or 0.32, the coin is fair or 3.84, the coin is fair or 3.84, the coin is not fa..

Time taken for demonstrating an experiment in the lab for the groups of different number of students is shown. At α = 0.10, find the F test value and test the claim that there is a significant difference in the mean time taken. => 2.8, there is no difference or 6..