44 results.
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Question in Graphing and Polynomials
No description given
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Question in Graphing and Polynomials
No description given
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Question in Algebra
No description given
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Question in Algebra
No description given
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Question in Christian's workspace
Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.
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Question in YJ's workspace
Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.
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Question in YJ's workspace
Customised for the Numbas demo exam
Factorise x2+cx+d into 2 distinct linear factors and then find ∫ax+bx2+cx+ddx,a≠0 using partial fractions or otherwise.
Video in Show steps.
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Question in Ricardo's workspace
Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.
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Question in James's workspace
Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.
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Question in Bill's workspace
Factorise x2+cx+d into 2 distinct linear factors and then find ∫ax+bx2+cx+ddx,a≠0 using partial fractions or otherwise.
Video in Show steps.
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Question in Bill's workspace
Find ∫a(x+b)(x+c)dx,b≠c.
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Question in Bill's workspace
Find ∫ax+b(x+c)(x+d)dx,a≠0,c≠d.
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Question in Christoph's workspace
Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.
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Question in Andrew's workspace
Template question. The student is asked to perform a two factor ANOVA to test the null hypotheses that the measurement does not depend on each of the factors, and that there is no interaction between the factors.