NO.2 answer is 5088.052869
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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The correct answer is: [D]: " <span>x-int : 1 , y-int: 0.5 " .
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Note:
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The "x-intercept" refers to the point(s) at which the the graph of a function (which is a "line", in this case) cross(es) the "y-axis".
In other words, what is (are) the point(s) of the graph at which "x = 0<span>" ?
</span>
By examining the graph, we see that when " x = 0" ; y is equal to: "1<span>" .
</span>
So; the "x-intercept" is at point: "(0, 1)" ; or, we can simply say that the
"x-intercept" is: "1" .
_________________________________________________________</span> Note:
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The "y-intercept" refers to the point(s) at which the the graph of a function (which is a line, in this case) cross(es) the "x-axis".
In other words, what is (are) the point(s) of the graph at which " y = 0 <span>" ?
</span>
By examining the graph, we see that when " y = 0 " ; x is equal to: "0.5<span>" .
</span>
So; the "x-intercept" is at point: "(0.5, 0)" ; or, we can simply say that the
"y-intercept" is: "0.5 " .<span>
______</span>_________________________________________________
This would correspond to:<span>
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Answer choice: [D]: </span>" x-int: 1 , y-int: 0.5 " .
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{that is; The "x-intercept" is: "0" ; and the "y-intercept" is: "0.5 ".} .
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Answer:
The correct option is;
Step function
Step-by-step explanation:
The given information are;
The cost of mailing a letter for the first ounce= $0.37
The cost for each additional ounce = $0.23
Therefore, the cost of mailing a letter can be found from the relation;
y = (N-1) × $0.23 + $0.37
The step function can be represented as follows;
f(x) = a[b(x - h)] + k
Where;
(h. k) = The starting points
a = The vertical step separation
b = The horizontal step separation
Therefore, in the question, we have;
a = $0.23
b = 1
h = 1
k = $0.37
Which gives;
f(x) = $0.23 × [1(x - 1)] + $0.37 = $0.23 × (x - 1) + $0.37
f(x) = $0.23 × (x - 1) + $0.37 which is similar to y = (N-1) × $0.23 + $0.37
Therefore the function that models the situation is step function.