Using the performance planner on a monthly basis allows one to optimize two aspects of an account, which are bid and budget.
<h3>What is a performance planner?</h3>
The performance planner is a tool which helps to obtain the best bids and mean monthly budget around all the campaigns.
The objective of a performance planner are:
- Enhance the conversation number to achieve any upcoming spend premise.
- Helps to obtain the best bids and mean monthly budget.
- Provide the chance to get the benefit of seasonality opportunities.
- Provides new possibilities to enhance the sales through ad and campaigns.
Hence, using the performance planner on a monthly basis allows one to optimize two aspects of an account, which are bid and budget.
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Classifying each label into the correct category of human red blood cell
A) Human red blood cell shrinks
- Cells placed in hypertonic solution
- More water moves out of cell
B) Normal Human red blood cell
- Cell placed in isotonic solution
- Water enters and leaves at the same rate
C) Human red blood cell swells
- Cell placed in hypotonic solution
- More water moves into cell
<h3>Types of solution</h3>
A hypertonic solution is a solution with a higher concentration to its surroundings ( i.e contains more solutes like electrolytes than its surroundings ). when a cell is placed in such solution is shrinks gradually and dies off through a process known as plasmolysis. while a hypotonic solution is a direct opposite of a hypertonic solution. Also An isotonic solution is a solution with the same concentration with its surrounding solution.
Hence we can conclude that the classification of each label into the appropriate category are as listed above.
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Answer:
The set of input values is called the domain.
The answer to your question has to false
The mean of a dataset is the average of the dataset.
The mean of the sample in the third row is 2.2
The dataset is given as:
5 5 3 0 6 2 2 4 5 2 3 4 3 0 1 4 0 4 3 6
From the complete question, the samples in the third row are:
Sample: 3 4 3 0 1
The mean of a dataset is calculated using:
Where:
n = 5 i.e. the number of samples
So, we have:
Add the expressions in the numerator
Divide 11 by 5
Hence, the mean of the sample in the third row is 2.2
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