Answer:
a. 1965
b. 8 years
Step-by-step explanation:
For answers to questions like these it can work to consider the smallest possible dataset.
<h3>Dataset</h3>
For our purpose, consider the 9 years/values to be averaged to be ...
1, 2, 3, 4, 5, 6, 7, 8 ,9
<h3>Observations</h3>
a. The center value of the data set is 5. Its number is 5-1=4 more than the first one.
The first centered value is from the year 1961 +4 = 1965.
b. The 4 values at the beginning, and the 4 values at the end do not have a corresponding "average" value. That is, 4+4 = 8 values in the series are lost with respect to the number of average values.
8 years of values are lost.
56 oz
shshnsnsnsjizjxbhxusj
Answer:
140% 1.4
4/100 Simplify to 1/25 4%
56/100 Simplify to 14/25 0.56
95/100 Simplify to 19/20 95%
Step-by-step explanation:
So, 7/5 is 1 and 2/5. 2/5 = 0.4 or 40% and 1 = 1 or 100%
4 is in the Hundredths column so it's 4 out of one hundred so 4/100 which is 4% , simplify the fraction by dividing by 4 to get 1/25
56% = 0.56 = 56 / 100 simplify to 14/25 by dividing by 4
0.95 = 95/100 simplify to 19/20 by dividing by 5 = 95%
Answer:
3sqrt(5)
Step-by-step explanation:
sqrt(45)
sqrt(9*5)
We know the sqrt(ab) = sqrt(a) sqrt(b)
sqrt(9) sqrt(5)
3sqrt(5)
Answer:
Population Distribution: The population is the whole set of values, or individuals, you are interested in. For example, if you want to know the average height of the residents of India, that is your population, ie, the population of India.
Population characteristic are mean (μ), Standard deviation (σ) , proportion (P) , median, percentiles etc. The value of a population characteristic is fixed. This characteristics are called population distribution. They are symbolized by Greek characters as they are population parameters.
Sample Distribution: The sample is a subset of the population, and is the set of values you actually use in your estimation. Let’s think 1000 individual you have selected for your study to know about average height of the residents of India. This sample has some quantity computed from values e.g. mean (x ), Standard deviation (s) , sample proportion etc. This is called sample distribution. The mean and standard deviation are symbolized by Roman characters as they are sample statistics.