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.
<em>Answer:</em>
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<em>This " / " means or, btw!</em>
<em>Step-by-step explanation:</em>
<em></em>
<em></em>
<em>⇒Take square root.</em>
<em></em>
<em> ± </em>
<em></em>
<em></em>
<em> or </em>
<em></em>
<em>Hope this helped you!</em>
Answer:
50°
Step-by-step explanation:
x+15+2x=90
3x=90-15=75
x=75/3=25
one acute angle=25+15=40°
other acute angle=2×25=50°
A is correct because 445.50 Divided By 150 is Equal to $2.97.
66 is the 100%
we can solve this problem by the rule of three.
Therefore:
66------------------------100%
x--------------------------150%
x=(66 * 150%) / 100%=99
Answer 150% of 66 is 99.
Other method:
150% of 66=1.5 *66=99
Answer: 150% of 66 is 99.
