Answer:
68km
22miles
240km
Step-by-step explanation:
Answer:
Step-by-step explanation:
Ok, so we have to help your pupil (lets call her Jane) figure out "why researchers should use a random sample to conduct a survey". So, i will list all of the choices.
- A random sample is likely to avoid bias
- In a random sample some members of the population are more likely to be selected than others
- Random samples provide consistency and systematically favor one choice over every other choice in each survey question
- Random sampling will provide a more representative sample of population
- Researchers can use a random sample to draw conclusions about the population
Random sampling is used to get the best average, and not favor any one opinion. For example, if you were trying to figure out the daily spending budget of people, you wouldn't just go to the upper clas part with all the rich people, you would survey from all over the town to get results from all kinds of people. So, the answers are:
- A random sample is likely to avoid bias (because thats exactly what they do)
- Random sampling will provide a more representative sample of population (because they are designed to do that)
- Researchers can use a random sample to draw conclusions about the population (thats why they take the samples)
Hope this helps
Answer:
1.1221500000*10^-10
Step-by-step explanation:
7.4810^3= 7,481
1.5×10^6= 1500000
7,481*1500000=11,221,500,000
11,221,500,000= 1.1221500000*10^-10
You can download the app photo math and that will help you
By definition, an absolute frequency is the measure of how frequently an event occurs based on data from an experiment of survey.
This frequency is independent of what the other events in the experiment are and thus is termed absolute frequency.
Thus, for the given question, option B, absolute frequency is the correct option.
