Answer:
4p^3 (4p + 1)
Step-by-step explanation:
All we can do with this equation is factor it.
16p^4 + 4p^3
When we look at the coefficients, there is a common factor of 4 with 16 and 4. The p's are also common factors, and we can take out a common factor of x^3. We can combine these common factors and take them out of the equation at the same time.
4p^3 (4p + 1)
hello,
Jack wants to know how many families in his small neighborhood of 60 homes would help organize a neighborhood fund-raising party. He put all the addresses in a bag and drew a random sample of 30 addresses. He then asked those families if they would help organize the fund-raising party. He found that 12% of the families would help organize the party. He claims that 12% of the neighborhood families would be expected to help organize the party. Is this a valid inference?
Yes, this is a valid inference because the 30 families speak for the whole neighborhood
it's the correct one because if he ask 30 families so they talk to their neighborhood so its will be 60 ;) so its correct,
hope this help
Answer:
I think it is yes.
Step-by-step explanation:
Answer:
642x115=73830
Step-by-step explanation:
does that help?
Answer:
C. Ratio
True for this case we have a clear definition of the 0 since the 0 for the heigth and the weigth represent absence of mass. And the differences between numerical values for the two variables are meaingful.
Step-by-step explanation:
We want to know which type of variable represent the weigth and the height. Let's analyze one by one the options given:
A. Ordinal
False since by definition an ordinal variable is "is a categorical variable for which the possible values are ordered". And for this case the height and the weigth are not categorical since represent quantitative data.
B. Nominal
False by definition and ordinal variable is which one that can't be represented by numeric values, and for this case the weight and the height are not example of this definition.
C. Ratio
True for this case we have a clear definition of the 0 since the 0 for the heigth and the weigth represent absence of mass. And the differences between numerical values for the two variables are meaingful.
D. Interval
False on this scale we don't have a clear definition of the 0. And for this case the heigth and the weight have a known definition of the 0 corresponding to the absence of mass. And since the ratios are meaingful for the heigth and the weigth then can't be an interval variable.
