Answer:
The difference of the means is not significant because the re-randomizations show that it is within the range of what could happen by chance.
Step-by-step explanation:
Given that:
The treatment group using Spray A reported a mean of 3.5 mosquito bites.
The treatment group using Spray B reported a mean of 5.6 mosquito bites.
After the data are re-randomized; the differences of the means are shown in the dot plot. The dot plot is attached in the file below;
The best conclusion that can be make based on the data from the dot plot is :
The difference of the means is not significant because the re-randomizations show that it is within the range of what could happen by chance.
Answer:
-1=p
Step-by-step explanation:
8=8p+13-3p
8-13=8p-3p
-5=5p
-5÷5=5p÷5
-1=p
Answer: Three feet in one yard
Step-by-step explanation:
Answer:
Step-by-step explanation:
(3x² + 4x + 4)(2x - 4)
The easiest method is probably to use long multiplication.
3x² + 4x + 4
<u>2x - 4 </u>
6x³ + 8x² + 8x
<u> - 12x² - 16x - 16</u>
6x³ - 4x² - 8x -16
Answer:
1. Amount of rain is the explanatory variable and yield of corn is the response variable.
Step-by-step explanation:
Explanatory Variable is the causal variable, which effects the other variable.
Response Variable is the resultant variable, which is effected by the other variable.
In this case, amount of rain effects the yield of corn (bushels per acre).
So, Amount of rain being causal effecting variable - is Explanatory Variable. Corn yield, being resultantly effected variable - is Response Variable.
