Answer:
It's wrong.
Explanation:
In the Punnett square, we will use F to represent the dominant freckles gene and f to represent the recessive lack-of-freckles gene. The first individual would have FF, because homozygous means that both alleles are the same. The second individual would have Ff, because heterozygous means that it has 2 different alleles. If the first individual passes down one of its "F" alleles and the second individual passes down its "F" allele, the offspring would have 2 dominant alleles, and the researcher's conclusion is disproven.
It is an analysis/evaluation, that is used to figure out an issue. <span />
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
