When we reject the null and the null is true, we have a made a type I error
The null hypothesis in statistics states that there is no difference between groups or no relationship between variables. It is one of two mutually exclusive hypotheses about a population in a hypothesis test.
null hypothesis is denoted as H₀
Reject the null hypothesis when the p-value is less than or equal to your significance level. Your sample data favor the alternative hypothesis, which suggests that the effect exists in the population. When you can reject the null hypothesis, your results are statistically significant.
when the p-value is greater than your significance level, you fail to reject the null hypothesis.
Sometimes , we reject our null hypothesis even when its true
there we made a type I error in hypothesis
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Y=1
x=7
that's the answer !!
Answer:
or 
Step-by-step explanation:
We know that the slope of the line is 1, so we can write it in terms of any two points belonging to the line, as per the difinition of slope:
We can use instead of 
any general point (x,y) on the line, and for 
the point we are interested in: (11,4)
That way the slope can be written as:
Next we can solve for y if this format is the one your instructor prefers:
Answer:
Step-by-step explanation:
Let's call 
the balloon's height above the ground and 
the horizontal distance between the balloon and the first milepost.
If the angle of the depression of this milepost is 24 degrees, we can say the following:
<em>
(equation 1)</em>
For the next milepost, the horizontal distance between the balloon and tihs milepost will be 
and the angle of depression will be 20 degrees, so we can say the following
then, replacing from <em>equation 1</em>
Resolving, we'll find the value of
So, the balloon's height above the ground is 1.99miles
Answer:
B. $ 1.30
Step-by-step explanation:
