1.A Null Hypothesis is
a. The assumption that a significant result is unlikely.
b. The assumption there is no relationship or difference between the variables you are testing.
c. The assumption there is a relationship or difference between the variables you are testing.
d. The pattern between the variable you are testing.
2. What is a Type-I error:
a. A type-I error is obtaining a non-significant result by sampling error alone.
b. A type-I error is obtaining a non-significant result when it should be significant.
c. A type-I error is obtaining a significant result by sampling error alone when the Null hypothesis is true.
3. Which of the statements below defines a Type-II error
a. A Type-II error occurs when you accept a null hypothesis which is false.
b. A Type-II error occurs when you fail to reject a false Null hypothesis.
c. A Type-II error occurs when you reject a research hypothesis which is true.
d. All the above.
4. One of the problems we face when conducting research is that when we select samples from populations, we might not get a sample that accurately reflects that population.
5. Even if there is no real relationship between variables in the population, it is likely that you will find a relationship between variables in your randomly selected sample.
Dr. Sunny is an Assistant Professor in higher education. He has completed his Ph.D. He has a depth of knowledge in the research field and in higher education.