First we convert the m to km by dividing the number by 1000. 1000m = 1 km.
150,000,000,000 / 1000 = 150,000,000 km
Now we divide 150,000,000/11,000,000 = 13.6363636364 au.
The phase of inferential statistics which is sometimes considered to be the most crucial because errors in this phase are the most difficult to correct is "data gathering".
<h3>What is
inferential statistics?</h3>
Inferential statistics are frequently employed to compare treatment group differences.
Some characteristics of inferential statistics are-
- Inferential statistics compare treatments groups and make conclusions about the greater population of participants using measures from the experiment's sample of subjects.
- Inferential statistics aids in the development of explanations for a condition or phenomenon.
- It enables you to draw conclusions on extrapolations, which distinguishes it from descriptive statistics, which simply summarize the information that has been measured.
- There are numerous varieties of inferential statistics, each with its own set of research design & sample characteristics.
- To select the correct statistical test of their experiment, researchers should reference the numerous texts about experimental design and statistics.
To know more about the inferential statistics, here
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Answer:
under coverage
Step-by-step explanation:
From the given information we can say that 2% of households have no telephone, 14% have only cell phones, and another 25% have unlisted telephone numbers. Since, the facility is available some part of population and not available to the whole population so, clearly its an examples under coverage.
