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:
1 .
because sqare root of -1= 1
Answer:
Step-by-step explanation:
Let us assume that,
x represents the number of sq. yards of fabric and
y represents price of the fabric.
As the unit price of the fabric i.e cost per sq. yard of fabric is $1.25, so for each number of sq. yard of fabric, the cost for that much of fabric will be multiple of 1.25 of that number.
i.e
Here, the rate of change is 1.25. So for each increase in x, the amount of increase in y is 1.25
The table along with the graph have been attached below.
the equation for the line is:
y = -2( x + 1 )