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gmoney1973
08.11.2020 •
Mathematics
Please answer all ASAP (no explanation needed), extra points and will mark brainliest
1. After buying some bottle caps for $81.74, Peter has $6.74 left. How much money did Peter have to begin with?
2. Henry has $97.95 and Marilyn has $74.71. How much more does Henry have than Marilyn?
3. Helen has $84.51 and Joseph has $17.93. How much money do they have together?
4. Emily has $27.09 and David has $6.17. How much more does Emily have than David?
5. Cynthia has $74.45 and Amy has $38.44. How much more does Cynthia have than Amy?
6. After buying some Skittles for $71.18, Irene has $17.36 left. How much money did Irene have to begin with?
7. Steven has $98.25 and Joe has $4.97. How much money do they have together?
8. Ralph starts with $74.53 and spends $4.97 on candies. How much money does Ralph have left?
9. Christopher has $26.34 and Beverly has $4.15. How much money do they have together?
10. Eugene gives $2.89 to Sarah. If Eugene started with $56.03, how much money does he have left?
11. Keith has $56.49 and Theresa has $3.43. How much money do they have together?
12. Peter gives $20.85 to Nancy. If Peter started with $84.26, how much money does he have left?
13. Bruce has $67.72 and Charles has $29.62. How much more does Bruce have than Charles?
14. Sandra gives $9.13 to Stephen. If Sandra started with $11.66, how much money does she have left?
15. After buying some marbles for $93.52, Donald has $6.35 left. How much money did Donald have to begin with?
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Ответ:
i dont really know
Step-by-step explanation:
Ответ:
Step-by-step explanation:
Hello!
Y: sales of a product in a marketing district (million dollars)
X: population in a marketing district (million persons)
The objective is to test if there is a linear association between the sales of a product and the population of a marketing district.
Parameter; Estimated Value; 95 Percent Confidence limits
Intercept 7.43119 -1.18518 16.0476
Slope 0.755048 0.452886 1.05721
a.
To test if there is or not an association between these two variables, you have to do a hypothesis test for the slope. If the slope is equal to zero, there is no linear association between the two variables, if the slope is different from zero, then there is a linear association between the variables.
So the student's hypotheses are:
H₀: β = 0
H₁: β ≠ 0
The data the student used to conclude is the 95%CI for the slope [0.452886;1.05721]
To be able to decide over an hypothesis test using a confidence interval there are several conditions to be met, one of them is that the confidence level and the significance level should be complementary, this means that if the interval was constructed using 1 - α= 0.95, then the hypothesis test should be conducted with a significance level of α= 0.05.
Considering that the value of the slope stated in the null hypothesis is not included in the given interval, i.e. zero is not included in the CI, then the decision is to reject the null hypothesis.
Then it can be concluded that there is a linear association between the sales of a product and the population in a marketing district.
b.
Although in the context of the variables of study it makes no sense that the estimate of the intercept takes negative numbers, keep in mind that mathematically if possible and correct. This means that obtaining a negative estimate of the intercept does not represent a calculation error or problem for the regression model. In general, when this occurs, a footnote is made indicating has no biological meaning or sense in context.
After all, what you have done with the estimate is a mathematical assertion of the social variables.
I hope it helps!