Question

"There is no difference in the weight between rats fed low-fiber diets and rats fed high fiber diets," is an example of a(n):

Group of answer choices

null hypothesis

alternative hypothesis

directional hypothesis

nondirectional hypothesis

Which of the following is an example of a nondirectional research hypothesis?

Group of answer choices

There is a positive relationship between a high-fat diet and weight gain.

There is a negative relationship between a high-fat diet and weight gain.

There is a relationship between a high-fat diet and weight gain

There is no relationship between a high-fat diet and weight gain.

The term "Type II error" refers to

Group of answer choices

Do not reject the null hypothesis when there is a relationship between variables.

Rejecting the null hypothesis when in fct the variables are not related.

Failing two recognize how sampling bias may have affected the research findings.

Using a non-directional research hypothesis when a directional one would have been justified.

Which of the following is the term associated with identifying difference/relationship between groups that is not due to chance or sampling error?

Group of answer choices

Probability

Meaningfulness

Significance

Statistics

The mathematical probability that a relationship between variables found within a sample may have been produced by sampling error is referred to as a(n)

Group of answer choices

effect size

power

p value

none of the above

When you reject the null hypothesis when there is actually no difference between groups or relationships between variables, you are making a:

Group of answer choices

Type I error

Type II error

Type III error

Error in power

The most common significance level in relation to the possibility of making a Type I error is:

Group of answer choices

.00

.10

.50

.05

Question 19

A significance level is also referred to as a

Group of answer choices

rejection level

alpha level

confidence interval

both a & b

Question 20

The degree of risk you are willing to take that you will reject the null hypothesis when it is actually true is call _________.

Group of answer choices

significance level

Type III error

Type II error

power

Answer 1

1. " is an example of

a Null hypothesis

In this case the objective is to determine whether the weight between rats fed low-fiber diets and rats fed high fiber diets differ on not. So, the possible null hypothesis is that

"There is no difference in the weight between rats fed low-fiber diets and rats fed high fiber diets,

2. Below mentioned cases clearly represent directional hypothesis,

There is a positive relationship between a high-fat diet and weight gain.

There is a negative relationship between a high-fat diet and weight gain.

Fourth option is incorrect as it show no relationship which can't be taken as an hypothesis.

Therefore, correct answer is "There is a relationship between a high-fat diet and weight gain".

3. None of these are correct.

a. power of a test is the probability of rejecting the null hypothesis when it is false.

b. P value is the prob. of getting an effect at least as extreme as one in the sample data.

c. Effect size is not a probability.

4. In this case null hypothesis is rejected when it is false. So it can't be Type-I or Type -II error.Hence, this a type-III error as null hypothesis is rejected when it is false but it is rejected for wrong reason.

5. most common significance level in relation to the possibility of making a Type I error is 0.05

Question 19.

In statistical testing significance level determine whether to reject null hypothesis or not. It is also called as rejection level or alpha level.

Both a & b are correct.

The degree of risk you are willing to take that you will reject the null hypothesis when it is actually true is called Type -I error.