According to C. Wright Mills, one quality of mind do all great sociologists possess is sociological imagination.
<h3>
What is sociological imagination?</h3>
Sociological imagination refers to the ability of someone to form an outlook on life through their own personal experiences as they interact with members of their society over time. This outlook they form can change based on newly acquired experiences.
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Answer:
D. vacuole
Explanation:
A vacuole holds water, food, waste, nutrients, proteins, and carbohydrates. It also removes harmful things that can damage cells.
Complete question;
<em>The distribution of lengths of salmon from a certain river is approximately normal with a standard deviation of 3.5 inches. If 10 percent of salmon are longer than 30 inches, which of the following is closest to the mean of the distribution? 26 inches A 28 inches B 30 inches C 33 inches D 34 inches</em>
Option B is correct. The value that is closest to the mean of the distribution is 30inches.
The formula for calculating the z-score is expressed as:
![z=\frac{ x-\mu}{\sigma}](https://tex.z-dn.net/?f=z%3D%5Cfrac%7B%20x-%5Cmu%7D%7B%5Csigma%7D)
Given the following parameters
![\sigma = 3.5\\x = 26in](https://tex.z-dn.net/?f=%5Csigma%20%3D%203.5%5C%5Cx%20%3D%2026in)
If 10 percent of salmon are longer than 30 inches, then:
Using the z table to get the value corresponding to the mean area 0.1.
- The required z-score will be -1.285
Substitute the resulting parameters into the formula to get the mean of the distribution.
![z=\frac{x-\mu}{\sigma}\\-1.285=\frac{26-\mu}{3.5}\\-1.285 \times 3.5 = 26 - \mu\\ -4.4975 = 26 - \mu\\\mu = 26 + 4.4975\\\mu = 30.4975\\\mu \approx 30in](https://tex.z-dn.net/?f=z%3D%5Cfrac%7Bx-%5Cmu%7D%7B%5Csigma%7D%5C%5C-1.285%3D%5Cfrac%7B26-%5Cmu%7D%7B3.5%7D%5C%5C-1.285%20%5Ctimes%203.5%20%3D%2026%20-%20%5Cmu%5C%5C%20-4.4975%20%3D%2026%20-%20%5Cmu%5C%5C%5Cmu%20%3D%2026%20%2B%204.4975%5C%5C%5Cmu%20%3D%2030.4975%5C%5C%5Cmu%20%5Capprox%2030in)
Hence the value that is closest to the mean of the distribution is 30inches.
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Answer:
z = 1.00
Explanation:
Given:
Probability of z value = 0.6826
By using standard normal table for z value.
P(-z < Z < z) = 0.6826
P(Z < z) - P(Z < -z) = 0.6826
We know that
P(Z < z) + P(Z < -z) = 1
So,
2P(Z < z) - 1 = 0.6826
2P(Z < z) = 1 + 0.6826
2P(Z < z) = 1.6826
P(Z < z) = 1.6826 / 2
P(Z < z) = 0.8413
So,
P(Z < 1.00) = 0.8413
z = 1.00