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 polynomial to be subtracted is derived from the multiplication of the first term of the quotient and is given as: x³ + 2x²
<h3>What are polynomials?</h3>
Polynomials are mathematical expressions consisting of variables, constants and exponents, which are combined using mathematical operations such as addition, subtraction, multiplication and division.
The long division is as follows:
(x³ + 3x² + x) ÷ x + 2
The first quotient will be x².
Multiplying (x + 2) and x² gives the polynomial to be subtracted from the dividend.
(x + 2)×(x²) = x³ + 2x²
Therefore, the polynomial to be subtracted is x³ + 2x².
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Answer: SIMPLIFY TERMS === 32X^3-12X^2+51X=35
Step-by-step explanation:
(4x2+x+7)(8x−5)
Expand (4x2+x+7)(8x−5)
by multiplying each term in the first expression by each term in the second expression.
4x2(8x)+4x2⋅−5+(x(8x)+x⋅−5)+(7(8x)+7⋅−5)
Simplify terms.
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32x3−12x2+51x−35