The very first thing to do to identify whether the data showed linear or exponential growth is to plot the data. By plotting the data, you are able to visualize the form or trend of your data. You can also see if your data trend forms a line. If it forms a line, it is linear. If your data shows somehow a rapid increasing magnitude of slope then, it is exponential.
Answer:
<u>Descriptive</u> statistics consists of organizing and summarizing information collected, while <u>inferential</u> statistics use methods that generalize results obtained from a sample to the population and measure the reliability of the results.
Step-by-step explanation:
By definition, descriptive statistics summarize a given data set using measures of central tendency and measures of variability.
Measures of central tendency include:
Measures of variability include:
- standard deviation.
- variance.
- the minimum and maximum variables.
By definition, inferential statistics are used to make generalizations about a population from data samples.
For example, you might ask a sample of 100 people if they like shopping. You could make a bar chart of yes or no answers (descriptive statistics) or you could use your research and then, reason which is the percentage of the population that likes shopping (inferential statistics).
Answer:
30 x 3 - 80 is 10
Step-by-step explanation:
<span>3x^2 + 4x + 8 + 2x^2 - 6x + 3 to give result as 9x^2 -2x - 5
</span>3x^2 + 4x + 8 + 2x^2 - 6x + 3
= 5x^2 - 2x + 11
so
9x^2 -2x - 5 - (5x^2 - 2x + 11)
= 9x^2 -2x - 5 - 5x^2 + 2x - 11
= 4x^2 -16
answer
expression (4x^2 -16) must be added to the sum of (3x^2 + 4x + 8) and (2x^2 - 6x + 3) to give the result as (9x^2 - 2x - 5)
