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:
4 cupcakes per box
Step-by-step explanation:
If there is 12 cupcakes in 3 boxes, you can divide 12 by 3 and get 4 which is how many cupcakes are in one box.
~Good Luck~
Is this a true/false? if so, it's true. (Only SAS, SSS, ASA, and AAS prove congruency between triangles).
Hope it helps <3
9514 1404 393
Answer:
b, d, c, a, e
Step-by-step explanation:
A formula should always come with a definition of the variables it uses. Here, you're supposed to somehow magically figure out what the variables are.
A = P(1 +r/n)^(nt)
A is the amount of the investment of principal P after t years, compounding annual rate r n times per year.
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Then your blanks get filled like this:
1. A -- b the value
2. P -- d the principal
3. r -- c the annual interest rate
4. n -- a number of times compounded per year
5. t -- e number of years
