A multiple-choice test is a good example of a test of: recognition.
Recognition tests sees what a person has been taught before and allows them to pick the appropriate response to a question based on what they've learned previously. When you are picking from a list of choices, you are able to see various answers that could be correct but are expected to be able to decipher between them and chose the right one.
Answer:
fixed-ratio schedule
Explanation:
Fixed-Ratio Schedule is a term that describes the periodic or specific timing at which rewards are delivered following the performance of a certain task at a certain rate.
In this case, given that one is being paid for every individual webpage that one create that means one is being paid at a "Fixed-Ratio Schedule"
This is because the Fixed is the payment, Ratio is every individual page that is created to receive the reinforcement.
Answer:
During his reign, Justinian reorganized the government of the Byzantine Empire and enacted several reforms to increase accountability and reduce corruption.
Explanation:
Answer:
B) There is not sufficient evidence to support the claim that the true proportion is less than 21 percent.
Explanation:
According to a different source, these are the options that come with this question:
A) There is sufficient evidence to support the claim that the true proportion is less than 21percent.
B) There is not sufficient evidence to support the claim that the true proportion is less than 21percent.
C) There is sufficient evidence to support the claim that the true proportion is greater than 21percent.
D) There is not sufficient evidence to support the claim that the true proportion is greater than 21percent.
This would be the best way to explain what this conclusion means. The hypothesis states that more than 21% of the population suffers from professional problems due to extreme shyness. Moreover, the null hypothesis states that there is no meaningful relationship between two measured phenomena. If we "fail to reject" the hypothesis, this means that we do not have evidence that shows that the hypothesis is not true. Therefore, we can claim that there is not sufficient evidence to support the claim that the true proportion is less than 21 percent.
