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:
But there is no question. And the formula for the area of a triangle is 1/2bh not 1/2h.
Thank you.
Answer:
Step-by-step explanation:
Probability of of winning next shot if he scores= 0.5
Probability of missing next shot if he misses = 1/6
a) Probability of scoring 2 shots later if he missed = (1-1/6)^2
=(5/6)^2
=25/36
b) % of successful shots= (1/2+5/6×(1/100))%
=4/3×1/100
=0.013%
Since Angle QPS is a straight angle, it equals 180 degrees.
Angles QPR and RPS equal QPS.
Angle QPR + Angle RPS = QPS
(7x-4) + (9x-40) = 180
x=14
, which is:
