Answer:
One
Explanation:
The essence of what is a Relative Frequency Distribution is to devide the frequency of an event (in this case "the times that males spend each day thinking about females") by the total number of cases to get the % of how often the event occurs.
In this case, as example:
Say your distribution looks like this:
"the times that males spend each day thinking about females" : 10
"the times that males doesn't spend each day thinking about females": 15
"total" : 25
Relative Frequency Distribution
"the times that males spend each day thinking about females" : 10/25 = 0.4
"the times that males doesn't spend each day thinking about females": 15/25 = 0.6
"total" : 25/25 = 1
0.4 + 0.6 = 1
You can conclude from this that 40% is the times that males spend each day thinking about females
<span>The contact hypothesis has been described as one of the best ways to improve relations among groups that are experiencing conflict. Gordon W. Allport (1954) is often credited with the development of the contact hypothesis, also known as Intergroup Contact Theory.
When jenny's parents told her that they were moving to alabama, she was horrified because she secretly thought that southerners were mostly poorly educated and racist. after experiencing the foods, traditions, and people in her new state, she was surprised to realize that southerners weren't all alike, and that many of her new friends were just like her. this is an example of: the contact hypothesis.</span>
<u>Answer:
</u>
The investigator must inform the administrative body or the Institutional review board about the changes made to the procedures of the study.
<u>Explanation:
</u>
- To seek the approval of IRB for a clinical trial, the IRB requires the investigator to specify the procedure of the study that he is willing to carry out.
- The IRB permits the study if the procedure is feasible and fits within the norms set by laws.
- If any changes are to be made to the procedures during the course of the study, the chief investigator should inform IRB about the changes to maintain the legitimacy of the study.
dzmitry bahdanau, kyunghyun cho, and yoshua bengio. 2014. neural machine translation by jointly learning to align and
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance.
The models proposed as of late for brain machine interpretation frequently have a place with a group of encoder-decoders and comprises of an encoder that encodes a source sentence into a fixed-length vector from which a decoder creates an interpretation.
In this paper, we guess that the utilization of a fixed-length vector is a bottleneck in working on the exhibition of this essential encoder-decoder engineering, and propose to broaden this by permitting a model to naturally (delicate )look for parts of a source sentence that are pertinent to anticipating an objective word, without shaping these parts as a hard section unequivocally.
With this new methodology, we accomplish an interpretation execution equivalent to the current cutting edge state put together framework with respect to the undertaking of English-to-French interpretation. Moreover, subjective examination uncovers that the (delicate )arrangements found by the model concur well with our instinct.
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