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2 answers:
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Answer:
0.5934% probability that a baseball player will play at an NCAA college and will also go on to be drafted by the MLB
Step-by-step explanation:
We use the conditional probability formula to solve this question. It is
In which
P(B|A) is the probability of event B happening, given that A happened.
is the probability of both A and B happening.
P(A) is the probability of A happening.
In this question:
Event A: Playing at an NCAA college.
Event B: Being drafted by the MLB.
6.9% will play in an NCAA college
This means that
8.6% of the college players will go on to be drafted by the MLB.
This means that
What is the probability that a baseball player will play at an NCAA college and will also go on to be drafted by the MLB?
0.5934% probability that a baseball player will play at an NCAA college and will also go on to be drafted by the MLB
Answer:
Step-by-step explanation:
Given that a researcher is planning to construct a one-sample z ‑confidence interval for a population mean
The confidence interval would be calculated as
Here margin of error = Z critical * std error determines the size of the confidence interval
Margin of error dependds on i) Z critical value ii) std deviation
iii) Inversely to square root of sample size.
Hence margin of error would be small if
.B) The researcher increases the sample size
C) The researcher lowers the confidence level
E) The population standard deviation turns out to be lower than expected.