Question

no explanation required
Question 5

A researcher increases his level of confidence from 90% to 95%. What will happen to the precision of his estimate?

Select one:

a. It depends on the size of the population.

b. The estimate will be less precise.

c. The estimate will be more precise.

d. The precision of his estimate will not change.

Q 6

Question 6

A researcher reports the following result for a two-tailed one-sample test at a .05 level of significance, t(30) = 2.020, and correctly decides to fail to reject the null hypothesis.

Select one:

True

False

Q 7

Question 7

If the value stated by a null hypothesis is ______ the confidence interval, then the decision would likely be to reject the null hypothesis.

Select one:

a. inside

b. outside

Q 8

Question 8

A therapist has a goal to reduce the mean number of patient symptoms expressed for a particular disorder to two symptoms per day. Following therapy, she determines that the z-score for two symptoms per day is 0. Assuming the data are normally distributed, did she reach her goal?

Select one:

a. No, because the z-score is not negative (indicating a reduction in symptoms).

b. No, because the z-score indicates 0 improvement.

c. Yes, because a z-score of 0 is the average, or mean.

d. Yes; in fact, she actually reduced the mean number of symptoms to 0.

Answer 1

Answer:-

Question-5:-

Option-b is correct answer. i,e, The estimate will be less precise.

Explanation:-

The bigger the confidence interval the bigger the margin of error (or width) is bringing about a less precise interval.

As we increment the confidence interval dimension of our evaluations—from 95 to 99, for instance—our confidence interval gets bigger. At the end of the day, so as to be increasingly certain that our interim really contains the populace mean, we need to expand the measure of the interim, i.e., we must be less precise.

Question-6:-

Second Option is correct answer. i.e, False

Explanation:-

Given data:

level of significance = 0.05,

t(30) = 2.020

P-value = 0.0263

Hence P-value < level of significance. so we can reject the null hypothesis.DB;

So answer is False.

Question-7:-

Option-b is correct answer.

i,e, Answer is Outside

Question-8:-

Option-c is correct answer.

i.e, Answer is Yes, because a z-score of 0 is the average, or mean.