Answer:
an antigen is toxic foreign substance, that induces an immune reaction in the body.
an antibody is a blood protein that is made in retort to the counteracting of a certain antigen.
apoptosis is the death of cells that occur normally and control part of a specific organisims growth.
an autoimmune disease is a condition in which your immune system mistakenly attack your body.
a b-cell is a type of lymphocyte that is responisble for the autoimmunity component in the adaptive immue system.
a t-cell is part of the immue system tht develop from types of stem cells in the bone marrow.
a helper is a type of white blood cells that serves as a specific and important key of immune functions.
a killer is an innate immune cell that shows a strong cytolyic function against physiologically stressed cells such as: tumor cells, and virus infected cells.
a suppressor is a lymphocyte that can suppress the antibody production by other lymphoid cells.
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i apologize, i can get to more but i am busy.
Answer:
56
Step-by-step explanation:
Multiply 4 by 14 to get your answer.
Answer:
a) Null hypothesis:
Alternative hypothesis:
b)
c)
d)
e) For this case since the statistic is lower than the critical value and the p value higher than the significance level we have enough evidence to FAIL to reject the null hypothesis so then we don't have information to conclude that the true proportion is higher than 0.12
Step-by-step explanation:
Information given
n=1000 represent the random sample selected
X=134 represent the number of young drivers ages 18 – 24 that had an accident
estimated proportion of young drivers ages 18 – 24 that had an accident
is the value that we want to verify
represent the significance level
Confidence=95% or 0.95
z would represent the statistic
Alternative hypothesis:
The statistic would be given by:
(1)
Part b
For this case since we are conducting a right tailed test we need to find a critical value in the normal standard distribution who accumulates 0.05 of the area in the right and we got:
Part c
For this case the statistic would be given by:
Part d
The p value can be calculated with the following probability:
Part e
For this case since the statistic is lower than the critical value and the p value higher than the significance level we have enough evidence to FAIL to reject the null hypothesis so then we don't have information to conclude that the true proportion is higher than 0.12
Answer shown and explanation above! Hope this helps!