The two source hypothesis is an explanation for the synoptic problem, the pattern of similarities and the differences between the three gospels of Matthew, Mark and Luke. It emerged in the 19th century.
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Hypothesis and Prediction
The two words that need to be in a hypothesis are IF and THEN.
They can use hypothesis and varible answers
Until his death, William R. Farmer was the leading advocate of the Two Gospel (neo-Griesbach) Hypothesis, i. e. the view that Matthew wrote the first of the canonical gospels; Luke made use of Matthew and other source material in producing the second, now canonical, gospel; and Mark conflated Matthew and Luke in writing the third of the canonical gospels.William R. Farmer then disagreed with other synoptic source hypothesis, particularly, with the Two Document hypothesis, which claims that Mark wrote the first gospel and Matthew and Luke made independent use of Mark and hypothetical source, originally simply called Q (short for the German word for "source" Quelle, but which now more popularly carries the title, "The Sayings Gospel, Q."
if.....then.....because It's my understanding that there are two, not three, intrinsic words in a hypothesis. These are "if" and "then." If there was a third word, I suspect it would be "therefore."
To prove the hypothesis. To disprove the hypothesis.
One hypothesis holds that rapid climatic changes at the end of the Pleistocene caused extinctions. The other hypothesis, called prehistoric overkill, holds that human hunters were responsible. Source: school text book.
hypothesis was already published. Einstein never liked this hypothesis .
Hypothesis or thought
Emerging in the 19th century, the Two-source hypothesis provided an explanation for the differences between the three Gospels of Matthew, Mark and Luke. It stated that the gospels of both Matthew and Luke were based on the Gospel of Mark as well as quotes and sayings from a hypothetical written Greek source now known as 'Q'.
When the alternative hypothesis is non-directional, we use a two-tailed test. Example: H0: mean = 50 Ha : mean not equal to 50 Here is a directional hypothesis that would use a one-tailed test. H0: mean = 40 Ha : mean > 40 or H0: mean = 40 Ha: mean < 40