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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The price is 36 because 40% of 65 is 29 and 65-29 equals 36.
Answer:
Check whether the first and last terms of the trinomial are perfect squares.
Multiply the roots of the first and third terms together.
Compare to the middle terms with the result in step two
If the first and last terms are perfect squares, and the middle term’s coefficient is twice the product of the square roots of the first and last terms
Step-by-step explanation:
60 miles per hour
distance=rate times time
first part
rate=60mph
time=3h
distance=60mph times 3h=180 miles
part 2
time=2 hours
rate=70mph
distance=70mph times 2h=140miles
total is 180mi+140mi=320miles
