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:
well explict means stated clearly and in detail, leaving no room for confusion or doubt. and implict means implied though not plainly expressed.
Step-by-step explanation:
Answer:
d
Step-by-step explanation:
E is ththe answer
the first equation should be T + C = 118 and the second equation should be C + 26 = T
none of these equations are correct
Answer:
14
Step-by-step explanation:
The computation of the mean number of coins for the girls is shown below:
Since there are 24 boys and 16 girls so the total children is 40
So the number of coins for all children is
= 40 × 11
= 440
And, the number of coins for all boys is
= 9 × 24
= 216
Now the mean is
= (440 - 216) ÷ 16 girls
= 14
