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:
3125
Step-by-step explanation:
5 x 5 x 5 x 5 x 5
25 x 5 x 5 x 5
125 x 5 x 5
625 x 5
3125
8 / 6.403 = 1.249...
nearest tenth = 1.2
Answer:
h = 6
Step-by-step explanation:
Given the 2 equations
- 3x + 4y = - 30 → (1)
9x + 5y = 39 → (2)
We require the value of the x- coordinate at the point of intersection, thus require to eliminate the y- term from the equations
Multiply (1) by 5 and (2) by - 4
- 15x + 20y = - 150 → (3)
- 36x - 20y = - 156 → (4)
Add (3) and (4) term by term thus eliminating y
- 51x = - 306 ( divide both sides by - 51 )
x = h = 6
