Science is not testable is not a characteristic of science.
The omitted options include :
- science is a process.
- science is a body of knowledge.
- science must follow the scientific method.
- science is not testable.
<h3>What is a Scientific method? </h3>
A scientific method refers to the step by step process that scientists must follow in order to give scientific explanation of a phenomena or invention of an idea that is testable.
The scientific method includes:
- Observation
- Constructing a hypothesis/ testable explanation
- Conducting experiments to test the hpothesis
- Formulation of theories based on experiments
- Conducting further experiments and research
- Making conclusions/Formulation of laws.
- Reporting, and evaluating.
Thus, the characteristics of science include:
- science is a process.
- science is a body of knowledge.
- science must follow the scientific method.
Therefore it is wrong to say that science is not testable.
Read more on scientific methods here: brainly.com/question/26174465
<h3>
Answers: Choice B and Choice C</h3>
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Explanation:
The symbol 
or mu represents the population mean, which is a parameter.
The symbol 
or sigma represents the population standard deviation, which is also a parameter. The same goes for the symbol p, without any hat on top, as it is the population proportion.
If something represents a population data item, then it's automatically a parameter. It might help to think both words "population" and "parameter" start with the letter P.
Based on those previous paragraphs, we can rule out choices A, D and E. Those three items are parameters. This leaves <u>choices B and C</u> as our final answers.
or xbar is a sample statistic, and it represents an estimate of the population mean. Similarly, 
or p-hat is the sample proportion and it represents an estimate of the population proportion. These are considered unbiased estimators.
Another example of an unbiased estimator is the variable s which represents the sample standard deviation and it estimates the value of sigma. All of these estimators have one thing in common: they are based on a sample, which in turn tries to predict what the corresponding population value is. In other words, the statistic's job is to estimate the parameter.
Below is a reference table for all of the items mentioned.
Answer:
This probability can not be true
Explanation:
This probability can not be true because probability is between 1 and 0
The value of z is x(.20) = (.40)y
