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
To know more about null hypothesis here
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Answer:
1
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Step-by-step explanation:
Answer:
There will be 200 teddy bears.
Explanation:
Please check the picture attached!
I hope this helps!
Answer with Step-by-step explanation:
We are given that six integers 1,2,3,4,5 and 6.
We are given that sample space
C={1,2,3,4,5,6}
Probability of each element=
We have to find that 
Total number of elements=6
={1,2,3,4}
Number of elements in =4
Using the formula
={3,4,5,6}
Number of elements in =4
={3,4}
Number of elements in 
{1,2,3,4,5,6}
Answer:
y = -|x +2| +4
Step-by-step explanation:
The parent function y=|x| is shifted to the left 2 units, so x is replaced by x+2. It is reflected across the x-axis, so is multiplied by -1: -|x+2|. It is shifted up 4 units, so has 4 added to it:
y = -|x+2| + 4
