Answer:
It mean that the observed progeny is similar than the expected progeny. There is no a relationship between the categorical variables.
Step-by-step explanation:
The Chi-squared test is used to test the relationship between categorical variables. A categorical variable is a non-numerical variable. The null hypothesis of the Chi-squared test is that categorical variables are independent; it means that the frequencies are not dependent on the variable. It is important to know that the Chi-squared test does not measure causality, it only measures the relationship. To reject the null hypothesis, you usually need a probability lower than 0.05, but in this case, the probability was way higher than 0.05, it was between 0.5 and 0.9.
The null hypothesis states that a population parameter is equal to a hypothesized value. the alternative hypothesis states that a population parameter is smaller, greater, or different than the hypothesized value in the null hypothesis
Answer:
3.3
Step-by-step explanation:
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Answer:
b. (-3, -2)
explanation:
it's the only point inside the colored area.
Answer:
Step-by-step explanation:
it is D=R/2T