<h2>
Answer: c.) ¹⁵/₄</h2>
Step-by-step explanation:
If we transpose the equation into the slope-intercept form (y = mx + c), the value of c is the y-intercept.
since x + 4y = 15
then 4y = - x + 15
∴ y = -¹/₄ x + ¹⁵/₄
<h3>⇒ the y-intercept for the line x + 4y = 15 is ¹⁵/₄</h3>
Answer:
x = 3.873 units
or x =
units
Step-by-step explanation:
Hypotenuse = 4 , x = height of this isosceles triangle.
base is 2,
so Use Pythagorean Theorem.
x^2 + 1^2 = 4^2
x^2 = 4^2 - 1^2
x^2 = 16 - 1 = 15
x = root(15) =
The multinomial setting goodness of fit test allows to check whether the distribution of a sample corresponding to a qualitative variable (or discrete quantitative variable) is consistent with the expected results.
The Chi-square goodness of fit test is a statistical hypothesis test used to determine whether a variable is likely to come from a specified distribution or not. It is often used to check whether the sample data is representative of the full population or is it biased.
The degrees of freedom for the chi-square goodness of fit is calculated by using the following formula: df = (r-1)(c-1) where r is the number of rows and c is the number of columns. The following conditions are the conditions required: The sampling method should be simple random sampling. The variable being observed is categorical. The expected value of the number of sample observations for each variable is at least 5.
Therefore, The multinomial setting goodness of fit test allows to check whether the distribution of a sample corresponding to a qualitative variable (or discrete quantitative variable) is consistent with the expected results.
To learn more about goodness of fit refer here
brainly.com/question/23475357
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Kian has to work with 6 square inches
Step-by-step explanation:
Given that the logo has to be created in a rectangular shape
Length = 3 inches
Width = 2 inches
We have to calculate the area of the given space to find out that how much area Kian will work with.
So,

Hence,
Kian has to work with 6 square inches
Keywords: Rectangle, Area
Learn more about rectangle at:
#LearnwithBrainly
Answer:
p(z<0.42) = 0.6628
Step-by-step explanation:
A normal distribution with a mean of 0 and a standard deviation of 1 is called a standard normal distribution. That is to say:
μ = 0
σ² = 1
Using a calculator, we find that:
p(z<0.42) = 0.6628 (See picture attached)