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:
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<u>---------------------------</u>
<u>hope it helps..</u>
<u>have a great day!!</u>
Answer:
360 radical 2 or 509.11688
Step-by-step explanation:
simplify the radicals
12 =2 radical 3
calculate the products
10* 2 radical 3 * 6 radical 6
= 120 radical 18
again simplify
360 radical 2
Answer:
-4/3x + -28/3
Step-by-step explanation:
First you rearrange 4y-3x=1
y= 3/4x +1/4
then you reciprocate and change the sign the slope since you are trying to find a line perpendicular to it.
Slope(m) =-4/3
then you use the formula <em>y-y1= m(x-x1)</em>
y-0= -4/3 (x--7)
y= -4/3 +-28/3
