Answer:
The ratio level of measurement is most appropriate because the data can be ordered differences can be found and are meaningful, and there is a natural starting zero point.
That's the correct answer since our variable is numerical and have a natural starting point at 0 and the negative values not makes sense.
Step-by-step explanation:
The interval level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is no natural starting point.
Our variable is numerical but we have a starting point defined so it can't be an interval variable.
The nominal level of measurement is most appropriate because the data cannot be ordered.
False on this case the bolume can't be a nominal variable since we don't have a categorical variable.
The ordinal level of measurement is most appropriate because the data can be ordered, but differences (obtained by subtraction) cannot be found or are meaningless.
False we don't have ordered relationship among the variable’s observations
The ratio level of measurement is most appropriate because the data can be ordered differences can be found and are meaningful, and there is a natural starting zero point.
That's the correct answer since our variable is numerical and have a natural starting point at 0 and the negative values not makes sense.
By adding 3 to both sides and dividing both sides of the equation by 4 you end up with x=6
answer is x =6
Hope this helps!!
Answer:
8748
Step-by-step explanation:
a^5b^-6
when replacing the variables with their values :
3^5 -6^2
3^5 = 3*3*3*3*3 = 243
(-6)^ 2 = 36
243 * 36 =
8748
Answer:
the answer is
Step-by-step explanation:
3/11
the formula is y2-y1 / x2-x1
Answer:
The answer is Option A: "0.2% is a parameter and 11 is a statistic".
Step-by-step explanation:
The main difference between a statistic and a parameter is that a statistic describes a characteristic from a sample and a parameter describes a characteristic of the entire population.
In this case, 11 is the result of the positive salmonella eggs taken out of a sample of 200 eggs. It is a statistic.
Also, we know that of all eggs shipped (the population), 0.2% has salmonella. This 0.2% is a parameter.
The answer is Option A: "0.2% is a parameter and 11 is a statistic".
