1 is a factor of every number every natural number is a factor of itself apart from 0 and 1, all the whole numbers have at least two factors every factor is less than or equal to the given number the number of factors of a given number is finite factors can be evaluated using both ...
to factorise the polynomial with two terms, find the gcf of the terms and take the common factor out. for example, x 2 –x is the polynomial, x is the gcf of x 2 and x, therefore, x 2 –x = x(x-1) thus, x and x-1 are the factors of x 2 –x. q5 how to factorise ...
# Load data and convert dose to a factor variabledata("ToothGrowth") ToothGrowth$dose <- as.factor(ToothGrowth$dose)# Box plotp <- ggplot(ToothGrowth, aes(x = dose, y = len)) + geom_boxplot(aes(fill = supp), position = position_dodge(0.9)) + ...
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First, factor out the GCF, 2x. You're left with 2x (x - 2). This is as far as this binomial can go. Any binomial in the form 1x +/- n cannot be factored further. When you have a binomial that is a variable with an even exponent, added to a negative number that has a squa...
Polynomials are mathematical equations that contain variables and constants. They may also have exponents. The constants and the variables are combined by addition, while each term with the constant and the variable is connected to the other terms by eit
two terms, you get the following: x²(x – 1) – 4 (x – 1). Now you can pull out (x – 1) from each part to get (x² – 4) (x – 1). Using the "difference of squares" method, you can go further: (x – 2) (x + 2) (x – 1). Once each factor is in ...
ANOVA will give you one number (an f-statistic) and one p-value to interpret.There are several types of ANOVA, including:One-way ANOVA: This method is used when there is only one independent variable (factor) with multiple levels or groups. It tests if there is a significant difference ...
Spurious relationships will initially appear to show that one variable directly affects another, but that is not the case. This misleadingcorrelationis often caused by a third factor that is not apparent at the time of examination. This is sometimes called a confounding factor. ...
The most common null hypothesis is that the parameter in question is equal to zero (typically indicating that a variable has zero effect on the outcome of interest). If researchers reject the null hypothesis with a confidence of 95% or better, they can claim that an observed relationship is ...