Answer:
Descriptive statistic, Inferential statistic
Step-by-step explanation:
Descriptive Statistic:
- The process of summarizing a data to get insight about the data.
- it consist of measure of central tendency and measure of spread.
- It can be about the entire population or a sample of the population.
- It helps to understand the feature of the data
Inferential statistic:
- It is the method of making generalizations about the entire population based on the sample.
- It help us to make prediction about the population parameter with the help of sample statistic.
- This is done with the help of estimation and hypothesis testing.
Thus, the correct answer is:
Descriptive statistics consists of organizing and summarizing information collected, while inferential statistics uses methods that generalize results obtained from a sample to the population and measure the reliability of the results.
Answer:
Statistical sampling is drawing a set of observations randomly from a population distribution. ... By repeating the sampling operation a large number of times, perhaps 1000, we decrease the sampling error and increase the quality of the estimates.
The growth of the population can be expected to be about 3000 a year, so for the youer 2020 the figure 53 000 is the closest 33000 + 7 x 3000 = 54 000SHOW FULL ANSWER
How fast did he run each mile, that is to say how fast did he run 1 mile.
We can simply find the time it took him to run 1 mile.
He ran 7 miles in 57 3/4 minutes = 57.75 minutes.
In 1 mile he would run = 57.75/7 minutes = 8.25 minutes.
He ran 1 mile, that is each mile in 8.25 minutes.
I hope this helped.
Isolate the variable by dividing each side by factors that don't contain the variable.
a = 4 √69m^3/m
That 3 is on top of the m
