Answer:
Step-by-step explanation:
Hypothesis test about a population mean is done to evaluate two exclusive statements about a population in order to determine which is best supported by the sample data.
From the situations given, the correct options are
b. A recent study estimated that 20% of all college students in the United States smoke. The head of Health Services at Goodheart University suspects that the proportion of smokers may be lower there. This would require taking a sample and determining the probability of success.
c. A certain prescription allergy medicine is suppose to contain an average of 245 parts per million (ppm) of active ingredient. The manufacturer wants to check whether the mean concentration in a large shipment of pills is 245 ppm or not.
d. A report on the College Board website stated that in 2003 males scored generally higher than females on the SAT exam. An educational researcher wants to check whether this is true in her school district.
Answer:
D
Step-by-step explanation:
this answer is correct , i think if you think of it in logically
A rational expression is undefined when the denominator is zero.
is undefined when x=0 or x=2.
Answer:
Here's what I get
Step-by-step explanation:
Assume the function is a parabola.
The function has a maximum, so the parabola opens downward.
The maximum is at (-4,2), so the maximum is in the second quadrant.
The figure may look like the diagram below.
Converting observations from original values to standard deviation units is known as standardizing the data values. This is done in order to get values in such a form where we can compare them. For example, if we have the test scores of two different school and we want to compare the result of the students we have to first convert them into standard deviation units.
Converting the values to standard deviation units is also known as converting the values to z scores.
The formula for the z score is:
[tex]z= \frac{x-u}{s} [/tex]
where x is the data value, which is to be standardized.
u is the average of the entire data.
s is the standard deviation of the data.
