Answer: to minimize the effects of variables other than the independent variable (i.e. confounding variables)
Step-by-step explanation:
A scientific control is an experiment or observation designed to minimize the effects of variables other than the independent variable (i.e. confounding variables). This increases the reliability of the results, often through a comparison between control measurements and the other measurements.
ANSWER
The value of x is

EXPLANATION
We want to solve the equation,

The first step is to add 4 to both sides of the equation to obtain,

We simplify the right hand side to obtain,

We now square both sides of the equation to obtain,

This simplifies to

We solve for x to obtain,

This implies that,
Step-by-step explanation:
7. I believe it's independent because it makes sense and if it was dependent it wouldn't make senses.
8.For T you have 2 (Ts) so that give you a 2/8= 25% so you would basically make those Ts disappear and focus on 1 out of 6 and you'd get a 16.67% chance
9. 14.2857%
10. I don't understand ;-; am I suppose to multiply or see the chance if % it would get
I'm sorry;-;
Let x = number of 5 cent coins.
Then there are (x+2) 10 cent coins.
Let y = 20 cent coins.
Total coins: x+(x+2)+y = 30
2x+y=28
y = 28-2x (1)
Total value: 0.05x + 0.1(x+2) + 0.2y = 3.80
0.15x + 0.2y + 0.2 = 3.80
0.15x + 0.2y = 3.60 (2)
Substitute (1) into (2).
0.15x + 0.2(28-2x) = 3.60
-0.25x + 5.60 = 3.60
2.00 = 0.25x
8 = x
From (1), obtain y = 28 - 2(8) = 12
Answer: (x+2) = 8+2 = 10
Louise has 10 10-cent coins
Answer: The number of air conditioners sold per day in a city and the daily temperature
Step-by-step explanation:
We know that if there is a causal relationship between two variables then one variable is responsible for causing the other variable.
- the number of hats sold and the number of mittens sold in a city.
there is no causal relationship between the variables since both are independent variables.
- the amount of butter and the amount of bread consumed by a family
.
there is no causal relationship between the variables since both are independent variables.
- the number of notebooks sold and the number of pens sold in a stationery store
.
there is no causal relationship between the variables since both are independent variables.
- the number of air conditioners sold per day in a city and the daily temperature
.
there can be causal relationship between the variables since by increasing or decreasing temperature the the number of air conditioners sold per day in a city can be increased or decreased respectively.
- the number of hours a person can swim and the depth of the pool.
there is no causal relationship between the variables since both are independent variables.