Log (5) + log (3) = log (15)
The solutions to the questions are given below
a)
sample(n) word length sample mean
1 5,4,4,2 3.75
2 3,2,3,6 3.5
3 5,6,3,3 4.25
b)R =0.75
c)
- The mean of the sample means will tend to be a better estimate than a single sample mean.
- The closer the range of the sample means is to 0, the more confident they can be in their estimate.
<h3>What is the students are going to use the sample means to estimate the mean word length in the book.?</h3>
The table below shows sample means in the table.
sample(n) word length sample mean
1 5,4,4,2 3.75
2 3,2,3,6 3.5
3 5,6,3,3 4.25
b)
Generally, the equation for is mathematically given as
variation in the sample means
R =maximum -minimum
R=4.25-3.5
R =0.75
c)
In conclusion, In most cases, the mean of many samples will provide a more accurate estimate than the mean of a single sample.
They may have a higher level of confidence in their estimate if the range of the sample means is closer to 0 than it is now.
Read more about probability
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Answer: y= 2
Step by step: Multiply 2 and 1 to get 2
Answer: Sample statistics are used to make inferences about population parameters.
Step-by-step explanation:
A number which describes a population is called a parameter, such as a proportion or percentage.
A statistic is a number which may be calculated from the data observed in a random sample without demanding the use of any unknown parameters.
The mean and variance of a population are population parameters.
Thus, fourth statement is the right answer "Sample statistics are used to make inferences about population parameters."
