Answer:
think about it right now its easy or use a calculator
Step-by-step explanation:
amazing
Answer:
The distribution of the sample data will approach a normal distribution as the sample size increases.
Step-by-step explanation:
Central limit theorem states that the mean of all samples from the same population will be almost equal to the mean of the population, if the large sample size from a population, is given with a finite level of variance.
So, here Option C is not correct conclusion of central limit theorem -The distribution of the sample data will approach a normal distribution as the sample size increases.
We can say that the average of sample mean tends to be normal but not the sample data.
Answer:
1a. p0= 0.714
1b The result is not reasonably close to the value of 3/4 that was expected
Step-by-step explanation:
1a.Since One sample of offspring contained 376 green peas and 150 yellow peas therefore the probability of getting an offspring pea that is green will be:
Green pea/(Green pea+ Yellow pea)
p0= 376 /(376+150)
p0=376/526
Probability of getting Green pea = 0.714
1b.The result is not reasonably close to the value of 3/4 that was expected.
If I’m using substitution the answer is A
