Answer:
b)The sample size is large enough to use the normal approximation.
Step-by-step explanation:
In one case when sample size is very large usually, the Normal Distribution can be used to calculate an approximate probability of an event. The explanation of this is expained by the Central Limit Theorem which states that when we have a sample size is large, the sampling distribution of means converge to a normal distribution (approximately) and on this way:
The Binomial distribution can be approximated using a Normal Distribution in case when sample size is large. We can consider a sample size is large when we have these two conditions:
np > 10 and n(1-p)>10,
On this case we can assume the random variable
If we check the conditions:
np=493*0.05=24.65>10
n(1-p)=493*(1-0.05)=468.35>10
So then we can conclude that b)the sample size is large enough to use the normal approximation.
3,657,892
3 is in the millionth place.
6 is in the hundred-thousandth place.
5 in in the ten-thousandth place.
7 is in the thousandth place.
8 is in the hundredth place.
9 is in the tenth place.
2 is in the unit place.
I don't know if I worded this completely properly, but the answer should still be right!
⭐ Please consider brainliest! ⭐
✉️ If any further questions, inbox me! ✉️
Verbal
because it is more extended than the Math one,
I found this, Hope this helps you.