The sample size of 36 will produce the widest 95% confidence interval when estimating the population parameter option (b) is correct.
<h3>What are population and sample?</h3>
It is described as a collection of data with the same entity that is linked to a problem. The sample is a subset of the population, yet it is still a part of it.
We have:
A sample has a sample proportion of 0.3.
Level of confidence = 95%
At the same confidence level, the larger the sample size, the narrower the confidence interval.
As we have a 95% confidence interval the sample size should be lower.
The sample size from the option = 36 (lower value)
Thus, the sample size of 36 will produce the widest 95% confidence interval when estimating the population parameter option (b) is correct.
Learn more about the population and sample here:
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Answer:
1 -√2
Step-by-step explanation:
tan(7π/8) = 1 -√2
Answer:
4
Step-by-step explanation:
3x+3=15
3x=15-3
3x=12
x=4
Let's begin with 2500 mm and convert this to cm.
2500 mm = 250 cm
Next, convert 250 cm to inches. Recall that 1 inch = 2.54 cm.
Then (250 cm)(1 inch) / (2.54 cm) = (250 cm) (1 in)/ (2.54 cm)
= (250/2.54) inches = ? inches
Answer:
p * s(3) + b
Step-by-step explanation:
