What is the same as 6.93 divided by 0.4
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Answer:
The sampling distribution of is:
.
Step-by-step explanation:
According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:
The standard deviation of this sampling distribution of sample proportion is:
The study was conducted using the data from 15,000 students.
Since the sample size is so large, i.e. <em>n</em> = 15000 > 30, the central limit theorem is applicable to approximate the sampling distribution of sample proportions.
So, the sampling distribution of is:
.
Well you can start by drawing a triangle with the information
the size of angle B can be found using the Law of Sine
the size of angle C can be found using angle sum of a triangle.
The length of side c can be found using the Law of Cosines
hope it helps
the size of angle B can be found using the Law of Sine
the size of angle C can be found using angle sum of a triangle.
The length of side c can be found using the Law of Cosines
hope it helps