True or false using a given sample data, a 90% confidence interval for estimatin

Question

True or false using a given sample data, a 90% confidence interval for estimating u will be wider than a 80% confidence interval. The level of significance of a test is the same as the probability of the type I error expressed in percent form. If correlation coefficient r is negative, there is a negative linear relationship between the two variables and the values of two variables move in the opposite directions If a random sample of size n = 50 observations is drawn from a large population with mu = 63, then the distribution of the sample mean x has also the same mean 63 in a period experiment with 6 pairs, the degrees of freedom for the t-test are 10 In a test of independence with n-101, the number rows: r = 3, and the number of columns c = 4, the freedom for the chi-square test are 100 In a test of hypotheses, if P-values LE alpha null hypothesis H0 is rejected A sample of size 12 is drawn from a normal population with unknown standard deviation, to test the hypothesis about the mean. In this case we will use the Z test

Explanation / Answer

degrees of freedom of chi-square test = (r-1) * (c-1)

= 2 *3 =6

hence false

True , since P-value < alpha implies that H1 is correct

hence reject H0

False,

since standard deviation is unknown we use t-test

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