Answer:
The given statement describe inferential statistics.
Step-by-step explanation:
Descriptive Statistic:
- It helps us to summarize a given data set.
- It could describe the entire population or a sample from the population.
- There are two types of descriptive measures: measures of central tendency and measures of variability
- Central Tendency: Mean, mode, Median
- Measure of Viability: Standard Deviation, Variance, Range, Interquartile range
Inferential Statistic:
- It s the process of estimating population parameter with the help of a sample from the population.
- A random sample from the population is used to describe the population with the help of sample statistic.
Given Scenario:
"Based on a sample of 170 truck drivers, there is evidence to indicate that, on average, independent truck drivers earn more than company-hired truck drivers."
Thus, this is an example of a inferential statistics as a sample was used to estimate the population.
Here,
Sample:
Sample of 170 truck drivers
Population:
All truck drivers.
With the help of a sample, we approximated the population, thus, this statement describe inferential statistics.
Answer:
(b² + 1) (b - 1)
Step-by-step explanation:
= b³ - b² + b - 1
= b² (b - 1) + 1(b - 1)
= (b² + 1) (b - 1)
In order to find each one, we need to divide 23.96/4 to find what each pound costs. After dividing, you get 5.99. Each pound costs 5.99. So for the first one just multiply 2x5.99 and get 11.98. And the second one shows 17.97 so we can just divide 17.97 by 5.99 and get 3. Just work off of that and you’ll get the rest! But the answer would turn out to be C because you add 5.99 to 23.96 and you get 29.95! Hope this helped
Using the Distributive Property
The answer would be 3.
2 *4x = 8x and 2 * 3 = 6, to get 8x 6
Made the treaty of versai witch put restrictions on Germany and made the pay for the destruction they caused during the war putting them in a spot were they had no money
