The phase of inferential statistics which is sometimes considered to be the most crucial because errors in this phase are the most difficult to correct is "data gathering".
<h3>What is
inferential statistics?</h3>
Inferential statistics are frequently employed to compare treatment group differences.
Some characteristics of inferential statistics are-
- Inferential statistics compare treatments groups and make conclusions about the greater population of participants using measures from the experiment's sample of subjects.
- Inferential statistics aids in the development of explanations for a condition or phenomenon.
- It enables you to draw conclusions on extrapolations, which distinguishes it from descriptive statistics, which simply summarize the information that has been measured.
- There are numerous varieties of inferential statistics, each with its own set of research design & sample characteristics.
- To select the correct statistical test of their experiment, researchers should reference the numerous texts about experimental design and statistics.
To know more about the inferential statistics, here
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Answer:
C
Step-by-step explanation:
Answer:
The farmer would need 80 posts.
Step-by-step explanation:
If one side of the garden is 10m long, and the garden is a square, we can assume that all 4 sides will be 10m. That makes it 40m in total. Times 40×2 and you get 80.
Answer:
Step-by-step explanation:
given that you look over the songs in a jukebox and determine that you like 14 of the 52 songs
Here each song is independent of the other song
i.e. p = Probability that you like any song =
q = Prob you do not like = 1-0.2692 = 0.7308
a) the probability that you like the next four songs that are played
=
b) the probability that you do not like the next four songs that are played
=
