Answer:
children were not able to move but they did have sensory function
Explanation:
Guillain-Barré syndrome is a very rare disorder where the autoimmune system in the body begins to attack the healthy cells within the PNS or peripheral nervous system. Dr. McKhann observed in his studies that children were not able to move but they did have sensory function. Which original diagnosis believed that the disorder eventually caused full paralysis including loss of sensory function.
You could try the word “apparent” - it’s a synonym to evident and definitely fits in the second blank. If all else fails, search up “synonyms to evident” and choose as you like. I hope this helps :)
My older brother studied this in college and from his notes it is said that it does but it depends on how the child was and acted before playing those games
The answer is more because according to the definition of the theory of social facilitation, social facilitation is the tendency for people who are being watched or observed to perform better than they would alone on simple tasks (or tasks they know how to do very well due to repetition).
Answer: more
Answer:

Explanation:
Your question has one part only: <em>a) The average weight of the eggs produced by the young hens is 50.1 grams, and only 25% of their eggs exceed the desired minimum weight. If a Normal model is appropriate, what would the standard deviation of the egg weights be?</em>
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<h2><em>Solution</em></h2><h2><em /></h2>
You are given the <em>mean</em>, the reference value, and the <em>percent of egss that exceeds that minimum</em>.
In terms of the parameters of a normal distribution that is:
- <em>mean</em> =<em> 50.1g</em> (μ)
- Area of the graph above X = 51 g = <em>25%</em>
Using a standard<em> normal distribution</em> table, you can find the Z-score for which the area under the curve is greater than 25%, i.e. 0.25
The tables with two decimals for the Z-score show probability 0.2514 for Z-score of 0.67 and probabilidad 0.2483 for Z-score = 0.68.
Thus, you must interpolate. Since, (0.2514 + 0.2483)/2 ≈ 0.25, your Z-score is in the middle.
That is, Z-score = (0.67 + 0.68)/2 = 0.675.
Now use the formula for Z-score and solve for the <em>standard deviation</em> (σ):


