Answer:
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Answer:
Lowering the level of significance, α increases the probability of making a Type II error, β.
Step-by-step explanation:
Lowering the level of significance, α increases the probability of making a Type II error, β.
This is because the region of acceptance becomes bigger, and it makes it less likely for one to reject a null hypothesis, when it is false, the type II error.
Recall the Central Limit Theorem.
The Central Limit Theorem says that no matter what the distribution of the population is, as long as the sample is “large,” meaning of size 30 or more, the sample mean is approximately normally distributed.
If the population is already normal, then any sample size will produce a normal sampling distribution.
Answer: The required probability is 0.008.
Step-by-step explanation:
Since we have given that
Probability of bachelor's degree = 0.45
Probability of working in nursing = 0.85
Probability of both = 0.4
So, Probability of getting a graduate is currently working in nursing, given that they earned a bachelor's degree would be :
Hence, the required probability is 0.008.
Answer:
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