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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Answer:
If i am correct it should be 34
Step-by-step explanation:
Answer:
d = 7, 3
Step-by-step explanation:
First, you need to isolate the absolute value
-3|d - 5| = -6
divide both sides by -3:
|d - 5| = 2
break into 2 equations:
d - 5 = 2, d - 5 = -2
solve both equations and collect solutions:
d = 5 + 2, d = 5 - 2
d = 7, 3
Answer:
Step-by-step explanation:
Given
The question is illustrated with the attached image
Required
Find 
To do this, we use sine formula
i.e.
So, we have:
Take arc sin
Answer:
9 dimes and 6 nickles
Step-by-step explanation:
