# There can be multiple alternative hypotheses

**alternative hypotheses**are true or false. Place "True" or "False" at the end of each statement. True False Review A null hypothesis states that

**there**is no relationship between t variables.

**Alternative hypotheses**infer an effect between

**two**variables.

**There can be multiple alternative**hypothese.

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**alternative**hypothesis: Example 1. A researcher assumes that a bridge’s bearing capacity is over 10 tons, the researcher will then develop an hypothesis to support this study. The hypothesis will be: For the

**null hypothesis**H0: µ= 10 tons. For the alternate hypothesis Ha: µ>10 tons..

**alternative hypotheses**for the phylogenetic origin of Bilateria are evaluated by using complete 18S rRNA gene sequences for 52 taxa. These data suggest that

**there**is little support for three of these

**hypotheses**. Bilateria is not likely to be the sister group of Radiata or Ctenophora, nor is it likely that Bilateria gave rise to Cnidaria or Ctenophora.

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**there**seems to be a negative relationship between the distance traveled with a gallon of fuel and the weight of a car.This makes sense, as the heavier the car, the more fuel it consumes and thus the fewer miles it can drive with a gallon. This is already a good overview of the relationship between the two variables, but a simple linear regression with the miles.

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**Multiple**-

**hypotheses**variational autoencoder For ﬁne-grained data description, we learn a distribution with a

**multiple**-

**hypotheses**autoencoder. Figure4shows our

**multiple**-

**hypotheses**variational autoencoder. The last layer (head) of the decoder is split into Hbranches to provide H different

**hypotheses**. The outputs of each branch are the.