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anygoal [31]
3 years ago
6

Based upon your visual analysis of the​ "Average MPG"​ histogram, what is the most appropriate measure of center and variation t

o calculate and​ interpret?
Mathematics
1 answer:
blondinia [14]3 years ago
6 0

The most appropriate measure of center and variation to be computed and interpreted in this case is the Mean and Standard Deviation measures.

<h3>The appropriate measure of center and variation</h3>

The shape of a distribution is the factor that decides the most appropriate measure of century and variation which will be calculated as well as interpreted. In this case, the histogram is normally distributed, hence the need to use Mean and standard deviation.

<h3>Other types of distribution</h3>

Other types of distribution are indicated as follows:

  • Chi-square distribution
  • Binomial distribution
  • Poisson distribution

The complete options in the question to select from are:


A) The mean and standard deviation

B) The median and interquartile range

C) The median and Standard Deviation

D) The mean and Interquartile range.

The correct answer is A.

Please see the attached image and the link below for more about Types of Distribution in statistics:

brainly.com/question/13403673

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He fourth-grade students at Curtis Estabrook make up 0.3 of all students​ at the school. What fraction is equivalent to 0.3? ​
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3/10

Step-by-step explanation:

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Determine whether the quantitative variable is discrete or continuous. Depth of the ocean floor Is the variable discrete or cont
Vesna [10]

Answer:

B. The variable is continuous because it is not countable.

Correct, from the definition about of continuous data we see that is a random variable is continuous then it can't be countable.

Step-by-step explanation:

Previous concepts

A discrete random variable "has a countable number of possible values" in a domain defined. So then the possible values for these types of random variables are the integers.

A continuous is a random variable "where the data can take infinitely many values" that means that can take values from the rational with decimals. Ans is not countable.

Solution to the problem

Let's analyze one by one the possible options:

A. The variable is discrete because it is countable.

False, the depth of the ocean is a continuous random variable since we can have for exampe a depth of 1200.56 mi and we can't express this as a discrete random variable.

B. The variable is continuous because it is not countable.

Correct, from the definition about of continuous data we see that is a random variable is continuous then it can't be countable.

C. The variable is discrete because it is not countable.

False, the depth of the ocean is a continuous random variable since we can have for exampe a depth of 504.67 Km and we can't express this as a discrete random variable.

D. The variable is continuous because it is countable.

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6 0
3 years ago
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