Distributing Cos45 in an Expression: Numerator and Denominator

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In summary, distribution plays a crucial role in the accuracy and precision of experimental results. Common types of distribution used in scientific research include normal, uniform, binomial, and Poisson distributions. The central limit theorem states that as sample size increases, the distribution of sample means will approach a normal distribution. Various methods, such as visual assessments and statistical tests, can be used to assess the distribution of data. Manipulating distribution in an experiment can be done through controlling sample size, selecting participants from different populations, or using different experimental conditions, but caution must be taken to ensure the validity and generalizability of the results.
  • #1
Ryuk1990
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Let's say I have an expression like this.

cos45[(601-148)/sin21.8]

Does cos45 get multiplied into just the numerator terms or do I also distribute it to the denominator as well?
 
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  • #2
Only the numerator. Think of it as cos(45)/1 so that cos(45) multiplies the numerator and 1 multiples the denominator.

Also, notice that cos(45) equals something simple.
 
  • #3
Multiplying into the numerator and the denominator would give you [tex]\frac{cos(45)(601-148)}{cos(45)sin(21.8)}[/tex] and the cosines would cancel which is not what you want.
 
  • #4
Ok, thanks guys.
 
  • #5


In this expression, the cosine function is being applied to the entire fraction, not just the numerator. This means that the cosine function will be distributed to both the numerator and denominator. This is because the order of operations dictates that we first evaluate the expression within the parentheses, then apply the cosine function to the result. So in this case, the cosine function will be distributed to both the numerator (601-148) and the denominator (sin21.8). This is important to keep in mind when simplifying the expression further.
 
  • #6


In this expression, cos45 is being multiplied into both the numerator and the denominator. The distribution property in mathematics allows us to distribute a term to all the terms within a set of parentheses. Therefore, cos45 would be multiplied into both the 601 and 148 in the numerator, as well as the sin21.8 in the denominator. This is because cos45 is being multiplied by the entire expression within the parentheses.
 

FAQ: Distributing Cos45 in an Expression: Numerator and Denominator

1. How does distribution affect the outcome of an experiment?

Distribution refers to how the data is spread out or organized. It can play a significant role in determining the accuracy and precision of an experiment's results. A skewed distribution, for example, may lead to misleading conclusions, while a normal distribution may provide more reliable results.

2. What are some common types of distribution used in scientific research?

Some common types of distribution include normal (or Gaussian), uniform, binomial, and Poisson distributions. Each has its own characteristics and is suitable for different types of data or research questions.

3. How is distribution related to the central limit theorem?

The central limit theorem states that as the sample size increases, the distribution of sample means will approach a normal distribution regardless of the shape of the population distribution. This is important in statistical analysis as it allows for the use of normal distribution-based tests and confidence intervals.

4. How can we assess the distribution of our data?

There are various methods for assessing the distribution of data, including visual methods such as histograms, box plots, and Q-Q plots. Statistical tests, such as the Kolmogorov-Smirnov test, can also be used to determine if the data follows a specific distribution.

5. How can we manipulate distribution in an experiment?

Manipulating distribution in an experiment can be done through various means, such as controlling the sample size, selecting participants from different populations, or using different experimental conditions. However, it is important to carefully consider the potential impact of these manipulations on the validity and generalizability of the results.

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