An my opinion, I would go with B. Because you know how, like lets say if you see someone pretty like a pretty girl and you see someone ugly, wouldn't the ugly girl get bullied, because she is not pretty.
The confounding variable that makes the conclusion inappropriate are the parents who choose the learning tools that they want their children to use.
<h3>What is a confounding variable?</h3>
A confounding variable is a variable that makes it difficult to establish the true relationship that exists between two variables.
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Answer:
Mʏ ᴍᴏsᴛ ᴜsᴇʟᴇss ᴛᴀʟᴇɴᴛ ɪs ᴛᴏ ᴘᴏᴋᴇ ᴍʏ ɴᴏsᴇ ɪɴʙᴇᴛᴡᴇɴɴ Tᴡᴏ ᴘᴇᴏᴘʟᴇ ɪᴅᴄ ᴛʜᴏᴜɢʜ
The range is approximately equal to how many times the standard deviation is 6 times.
The standard normal distribution is a normal distribution with mean μ = 0 and standard deviation σ = 1. The letter Z is often used to denote random variables that follow this standard normal distribution.
The standard normal distribution is a special case of the normal distribution. The standard normal distribution has a mean of zero (μ=0) and a standard deviation of one (σ=1). A random variable following a standard normal distribution is denoted by z.
Standardizing a normal distribution results in a mean of 0 and a standard deviation of 1. This makes it easy to calculate the probability that a given value appears in a distribution, or to compare data sets with different means and standard deviations.
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Answer:
B. the mining and meat packing industries developed
Explanation:
With the expanding of the railroad lot of industries flourished, including the mining and the meat packing industries. The reason for that was that the railroads managed to connect all the major cities and the part of the country, also enabling for much quicker movement of the goods from one place to another. Since this became possible, the industries quickly developed as they were able to sell their products on much larger distances with this new method of transportation, soon becoming one of the major and most profitable industries.