Cohesion is water sticking to water. adhesion is water sticking to another thing, think of it as you're adding something to the water molecules. add-hesion
1. <span>what is the amount of the bolus dose, in both milligrams and milliliters, that you will administer in the first minute?
</span>The doses is 0.9 mg/kg and the weight of the patient is 143 pounds. So, the total doses of drug needed will be:
Total doses= 0.9 mg/kg * 143 pounds * 0.453592 kg/pound= 58.37 mg.
10% of the doses will be given bolus for 1 min, so the amount would be:
Bolus doses= 10%*58.37 mg= 5.837 mg.
In mililiters, it would be: 5.837 mg * 1ml/mg= 5.837 ml.
<span>2. what is the amount of the remaining dose that you will need to administer?
The remaining dose would be 90% of the total dose. You can either calculate it directly or subtract the bolus doses from the total doses.
Remaining doses= total doses- bolus doses= </span>58.37 mg- 5.837 mg= <span>52.533mg</span>
Answer:
There is little to no sunlight in the aphotic zone.
Explanation:
The aphotic zone is the deepest part of a lake/ocean, so no light is able to penetrate into those depths. Without light, photosynthetic organisms will not be able to undergo photosynthesis and will therefore not be able to survive.
<span>11.2 Florida voters. Florida played a key role in the 2000 and 2004 presidential elections. Voter
registration records in August 2010 show that 41% of Florida voters are registered as Democrats
and 36% as Republicans. (Most of the others did not choose a party.) To test a random digit
dialing device that you plan to use to poll voters for the 2010 Senate elections, you use it to call
250 randomly chosen residential telephones in Florida. Of the registered voters contacted, 34%
are registered Democrats. Is each of the boldface numbers a parameter or a statistic?
Answer
41 % of registered voters are Democrats: parameter
36% of registered voters are Republicans: parameter
34% of voters contacted are Democrats: statistic
11.7 Generating a sampling distribution. Let’s illustrate the idea of a sampling distribution in
the case of a very small sample from a very small population. The population is the scores of 10
students on an exam:
The parameter of interest is the mean score ÎĽ in this population. The sample is an SRS of size n =
4 drawn from the population. Because the students are labeled 0 to 9, a single random digit from
Table B chooses one student for the sample.
(a) Find the mean of the 10 scores in the population. This is the population mean ÎĽ.
(b) Use the first digits in row 116 of Table B to draw an SRS of size 4 from this population.
What are the four scores in your sample? What is their mean ? This statistic is an estimate of
ÎĽ.
(c) Repeat this process 9 more times, using the first digits in rows 117 to 125 of Table B. Make a
histogram of the 10 values of . You are constructing the sampling distribution of . Is the
center of your histogram close to ÎĽ?
Answer
(a) ÎĽ = 694/10 = 69.4.
(b) The table below shows the results for line 116. Note that we need to choose 5 digits because
the digit 4 appears twice.
(c) The results for the other lines are in the table; the histogram is shown after the table.</span>
