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: 9
Step-by-step explanation:
Since p is the number of homework problems April has. Since Nancy has 2 more than twice the number of homework problems April has and has 20 homework problems, this can be expressed into an equation as:
(2 × p) + 2 = 20
2p + 2 = 20
2p = 20 - 2
2p = 18
p = 18/2
p = 9
April has 9 homeworks, therefore p is 9.
Answer:
Find the median value for the dataset. Find the values of the lower and upper quartiles. Find the value of the interquartile range (IQR). Identify any outliers in the dataset. Use the criterion that a value is an outlier if it is either more than 1.5 x IQR above
Answer:
2,4
Step-by-step explanation:
because i said so
