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Statistics
Statistics deals with collecting, organizing, and interpreting numerical data. An important aspect of statistics is the analysis of population characteristics inferred from sampling.
36,755 Questions
Is it possible to toss a coin 20 times and have it land heads up 20 times?
Yes. The probability of this occurring is 0.520 = 0.00000095367 or 1 in 1,048,576 thus you are more likely to do this than win the lottery
What is the percentage of 116 and 18?
You need to clarify ... do you want to know:
What percentage of 116 is 18?
-or-
What percentage of 18 is 116?
If you meant the first one, the answer is 100*18/116 = 1800/116 = 15.51... or about 16%.
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How are statistics comparisons shown on bars or graphs?
error bar can be drawn for statistical comparison of bars and graphs.
How do you find the median when the amount of numbers is even?
You calculate the arithmetic mean of the two middle numbers.
For example, to find the median of {1, 7, 4, 2, 5, 8}
the middle two numbers of the ordered set are 4 and 5, whose average is (4+5)/2 = 4.5. So the median is 4.5
The binomial distribution is characterized by situations that are analogous to?
Rolling a six with a die or not rolling a six.
How do you find the mode if two numbers recur the same amount?
The distribution is bi-modal. That is to say both the numbers are modes.
How will adding the value 65 affect the mean and median of the data set 3 3 7 8 9?
The mean will go from 5 to 15.833...
The median will go from 7 to 7.5
The mean will go from 5 to 15.833...
The median will go from 7 to 7.5
The mean will go from 5 to 15.833...
The median will go from 7 to 7.5
The mean will go from 5 to 15.833...
The median will go from 7 to 7.5
What is an upper class boundary?
An upper class boundary refers to the threshold that separates different socio-economic classes, specifically distinguishing the upper class from the class above it, often characterized by wealth, income, and social status. This boundary can be influenced by factors such as education, occupation, and inherited wealth. It helps define social stratification and can vary between cultures and societies. Understanding these boundaries is essential for analyzing social dynamics and economic disparities.
Lying supine means lying on your back (supine is on your spine).
What is the pressure in pounds per square inch at a depth of 100 feet of seawater.?
Pressure in seawater at 100 feet is 44 psi. Or, .44 pounds per square inch per 1 foot. For Fresh water, it is .43 psi per foot.
Empirical method is generally taken to mean the collection of data on which to base a theory or derive a conclusion in science.
In statistics or data management, there are two main types of variables. Each of these types of variables can then be divided into two more types of variables.
1. Categorical variable
A categorical variable is commonly known as a qualitative variable. Every response can be placed into a category. A response may fit into a specific category (mutually exclusive), or it may fit into a category such as "other" along with other responses (exhaustive). Categorical variables are either nominal or ordinal. A nominal variable is a word that describes a category (i.e. horse, dog, cat) and the order does not matter. An ordinal variable uses categories that have to be placed in an order (i.e. very bad, bad, ok, good, very good).
2. Numeric variable
A numeric variable is a variable that is expressed by a real number. It is commonly referred to as a quantitative variable. Numeric variables can either be continuous or discrete. A continuous variable is variable that can assume an infinite number of real values (i.e. 2.345....). These variables are often grouped into class intervals. A discrete variable is a variable with a finite number of real values (i.e. shoe size).
Grade 12 Data Management class
What are the differences between the Emperical Rule and Chebyshev's Theorem?
The Empirical Rule applies solely to the NORMAL distribution, while Chebyshev's Theorem (Chebyshev's Inequality, Tchebysheff's Inequality, Bienaymé-Chebyshev Inequality) deals with ALL (well, rather, REAL-WORLD) distributions. The Empirical Rule is stronger than Chebyshev's Inequality, but applies to fewer cases.
The Empirical Rule:
- Applies to normal distributions.
- About 68% of the values lie within one standard deviation of the mean.
- About 95% of the values lie within two standard deviations of the mean.
- About 99.7% of the values lie within three standard deviations of the mean.
- For more precise values or values for another interval, use a normalcdf function on a calculator or integrate e^(-(x - mu)^2/(2*(sigma^2))) / (sigma*sqrt(2*pi)) along the desired interval (where mu is the population mean and sigma is the population standard deviation).
Chebyshev's Theorem/Inequality:
- Applies to all (real-world) distributions.
- No more than 1/(k^2) of the values are more than k standard deviations away from the mean. This yields the following in comparison to the Empirical Rule:
- No more than [all] of the values are more than 1 standard deviation away from the mean.
- No more than 1/4 of the values are more than 2 standard deviations away from the mean.
- No more than 1/9 of the values are more than 3 standard deviations away from the mean.
- This is weaker than the Empirical Rule for the case of the normal distribution, but can be applied to all (real-world) distributions. For example, for a normal distribution, Chebyshev's Inequality states that at most 1/4 of the values are beyond 2 standard deviations from the mean, which means that at least 75% are within 2 standard deviations of the mean. The Empirical Rule makes the much stronger statement that about 95% of the values are within 2 standard deviations of the mean. However, for a distribution that has significant skew or other attributes that do not match the normal distribution, one can use Chebyshev's Inequality, but not the Empirical Rule.
- Chebyshev's Inequality is a "fall-back" for distributions that cannot be modeled by approximations with more specific rules and provisions, such as the Empirical Rule.
Is the quotient of two numbers always a whole number?
No. A quotient is the result of a division. You can divide any real number by any other real number except zero. Most quotients are not whole numbers.
Not always because the quotient could be a decimal or a fraction.
What experiments would help Fran collect the best data?
Place one piece of bread in a lighted area and one piece of bread in a darkened area, and then observe the rate of mold growth over time.
Any codes for the jitsu cards that haven't been used?
her are some card jitsu cards that havent been used
all in caps
TCJ29MDPZLRXZWCW
TCJ2LQQ8KL8JD79R
TCJ2N2LYZHBV7JXF
A variable is a measurement that can take different "values". I put values in quotation marks because a variable can take qualitative values (for example, colour of eye) as well as quantitative (numerical) ones.
If using numbers 0 through 9 how many different 2 digit combinations can be made?
If there are no restrictions on duplicated numbers or other patterns of numbers then there are 10 ways of selecting the first digit and also 10 ways of selecting the second digit.
The number of combinations is therefore 10 x 10 = 100.
