CAN SOMEONE PLEASEEE HELP SIMPLIFY THESE TWO EXPONENT PROBLEMS I HAVE NO CLUE HOW
1 answer:
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The equation will be of the form:
where A is the amount after t hours, and r is the decay constant.
To find the value of r, we plug the given values into the equation, giving:
Rearranging and taking natural logs of both sides, we get:
The required model is:
where A is the amount after t hours, and r is the decay constant.
To find the value of r, we plug the given values into the equation, giving:
Rearranging and taking natural logs of both sides, we get:
The required model is:
Answer:
The 95% confidence interval for the proportion of all dies that pass the probe is (0.637, 0.733).
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of
, we have the following confidence interval of proportions.
In which
z is the z-score that has a p-value of .
356 dies were examined by an inspection probe and 244 of these passed the probe.
This means that
95% confidence level
So , z is the value of Z that has a p-value of
, so
.
The lower limit of this interval is:
The upper limit of this interval is:
The 95% confidence interval for the proportion of all dies that pass the probe is (0.637, 0.733).