Question 5 (1 point)
What are the conditions and the result of the Central Limit Theorem (CLT)?
If the sample size is bigger than 10, then the sampling distribution will be normally distributed.
If the sample size is bigger than 30 or the population is normally distributed, then the sampling distribution will be normally distributed.
If the sample size is bigger than 30 or the population is normally distributed, then the sample will be normally distributed.
Question 6 (1 point)
Which of the following would be a correct interpretation of a 99% confidence interval such as (4.1) < μ < (5.6)?
There is a 99% chance that μ will fall between 4.1 and 5.6.
It means that 99% of all data values are between 4.1 and 5.6.
We are 99% confident that the interval from 4.1 to 5.6 actually contains the true value of μ.
Question 7 (1 point)
In a sociology study, researchers are investigating the distribution of the time spent by individuals commuting to work in a specific urban area. They find that the commute times follow a normal distribution with a mean of 32 minutes and a standard deviation of 6.2 minutes. What is the probability that a randomly selected commuter from this area spends more than 30 minutes on their daily commute?
Your Answer:
Answer