Let S be the number of Brand S snowboards sold.
Let B be the number of Brand B snowboards sold.
309S + 489B = 4299
S + B = 11
S = 6 snowboards sold
B = 5 snowboards sold
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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First we need to graph the given values.
there are total 16 data so x-value can be taken as 1,2,3,...,16
given values will be assigned as y-values as shown in attached table.
Now we just graph those points to see the type of skew.
From graph we see that points are very close and almost in the shape of a line. Lines seems to be moving upward when going to the right side.
Hence correct answer will be "positive skew".
Answer:
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Step-by-step explanation:
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You do 18.99$ + 2.85$. ( 2.85$ is 15% of 18.99 )
