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Step-by-step explanation:
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A. review information you have already read
Answer: The main purpose he has for writing this is that the cloaning of humans can be done but it is also very hard to do.
Explanation: But every previous attempt ended in failure or fraud, leading many scientists to wonder if the goal might be impossible to reach.
The statement that is FALSE among the given options on hypothesis testing is;
Option D; Reducing the significance level (α) can increase a test's effectiveness.
This is about hypothesis testing.
Let us look at each of the options.
- A) When we increase the sample size, it means the testing becomes more sensitive and as such we are more likely to reject the null hypothesis. Thus, it increases the effectiveness.
- B) Alpha (α) is defined as the probability of rejecting the null hypothesis. Thus it is the probability of making a Type I error.
- C) Expanding the sample size makes the hypothesis test to be more sensitive. That is makes it more likely to reject the null hypothesis when it is false and as such it increases the power of the test.
- D) The lower the significance level, the lower the power of the test and as such the lesser the tests effectiveness.
Read more about hypothesis testing at; brainly.com/question/15980493
