Question

QUESTION 7

1. Michael surveys children in the special needs class at his church. He wants to know how supportive relationships can influence autistic children's social development. What is the sample?

		autistic children
		the special needs class at Michael's church
		supportive relationships
		social development

QUESTION 8

1. When conducting a statistical test, a high p-value indicates

		a low level of practical significance.
		a high level of practical significance.
		a low level of statistical significance.
		a high level of statistical significance.

QUESTION 9

1. Which value is used to determine the practical significance of a t-test?

		the t test statistic
		the p-value
		Levene's test
		Cohen's d

QUESTION 10

1. What is the problem with running multiple t-tests?

		It increases the Type I error rate.
		It increases the Type II error rate.
		It decreases the p-value.
		It inflates the degrees of freedom.

QUESTION 11

1. Suppose that an analysis of variance (ANOVA) produces an F statistic with a p-value of .050. What can we conclude based on these results?

		There is at least one statistically significance difference between the groups.
		There is no statistically significant difference between any of the groups.
		The results are practically significant.
		The results are not practically significant.

QUESTION 12

1. What is the alternate hypothesis of a chi-square test?

		There is a difference between the two variables.
		There is no difference between the two variables.
		A relationship exists between the two variables.
		No relationship exists between the two variables.

Answer 1

Q7. Autistic children

Explanation: Here Michael wants to survey the children specially autistic children and their social development.

Q8. a low level of statistical significance

Explanation: Note high p value indicates calculated test statistic is lie outside the rejection region and this can be only possible when our alpha is smaller than p values.

Q9. Cohen's d

Explanation:As test used for statistical significance , Cohen's d used in same manner for measuring the effect size or practical significance.

Q10. It increases the type I error rate

Explanation: multiple t increases type I.To avoid this we uses ANOVA testing.

Q11.There is at least one statistical y significant difference between the groups.

Explanation: if our p vlaue is less or equals to 0.05 then result will be significant.

Q12. A relationship exist between two variables

Explanation: chi square is uesd to test whether there is independent relation exist.