Q: 13) Which variable in an experiment is the variable expected to be affected by the manipulation?
A. Dependent variable
B. Extraneous variable
C. Moderating variable
D. Independent variable

A: The answer is, A. Dependent variable.

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Asked 2/9/2012 5:28:17 AM

Updated 2/9/2012 5:32:05 AM

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The answer is, A. Dependent variable.

Added 2/9/2012 5:32:05 AM

12) James is entering data on client gender. Because the values entered reflect male or female, this variable is _____.
A. discrete
B. dichotomous
C. continuous
D. ratio-scaled
**Weegy:** A. discrete **User:** 11) To be categorized as a customer, an individual must have a history of shopping at the establishment at least twice before the start of the study with expenditures of more than $10. This is an example of _____.
A. a hypothetical construct
B. a conceptual scheme
C. an operational definition
D. a dictionary definition
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Updated 6/18/2012 7:36:22 AM

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16) The use of a control group in experimentation _____.
A. provides for the manipulation of the independent variable
B. serves as a comparison to assess the manipulation
C. minimizes the cost of experimentation
D. allows for discovery of the average effect of the independent variable in different situations

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Updated 128 days ago|12/18/2016 8:41:11 PM

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The use of a control group in experimentation serves as a comparison to assess the manipulation.

Added 128 days ago|12/18/2016 8:41:11 PM

This answer has been added to the Weegy Knowledgebase

24) The process of ensuring the accuracy of data and their conversion from raw form into classified forms appropriate for analysis is called _____.
A. coding
B. data entry
C. data preparation
D. data measurement

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Updated 336 days ago|5/24/2016 4:47:22 PM

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The process of ensuring the accuracy of data and their conversion from raw form into classified forms appropriate for analysis is called Data preparation.

Added 336 days ago|5/24/2016 4:47:22 PM

This answer has been confirmed as correct, not copied, and helpful.

Confirmed by jeifunk [5/25/2016 12:32:06 AM]

25) _____ involves assigning numbers or other symbols to answers so that the responses can be grouped into a limited number of categories.
A. Editing
B. Data entry
C. Coding
D. Measurement

CODING involves assigning numbers or other symbols to answers so that the responses can be grouped into a limited number of categories.

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Updated 3/26/2016 11:13:50 PM

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CODING involves assigning numbers or other symbols to answers so that the responses can be grouped into a limited number of categories.

Added 3/26/2016 11:13:50 PM

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what is mean **Weegy:** Do you have a question for Weegy? **User:** what is the deffinition of mean, medium, and standard deviation **Weegy:** Mean have to related meanings. 1. the arithmetic mean (and is distinguished from the geometric mean or harmonic mean).
2. the expected value of a random variable, which is also called the population mean.
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Updated 2/9/2012 6:33:40 PM

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1.In mathematics and statistics, the arithmetic mean, or simply the mean or average when the context is clear, is the central tendency of a collection of numbers taken as the sum of the numbers divided by the size of the collection. The collection is often the sample space of an experiment. The term "arithmetic mean" is preferred in mathematics and statistics because it helps distinguish it from other means such as the geometric and harmonic mean.

In addition to mathematics and statistics, the arithmetic mean is used frequently in fields such as economics, sociology, and history, though it is used in almost every academic field to some extent. For example, per capita GDP gives an approximation of the arithmetic average income of a nation's population.

While the arithmetic mean is often used to report central tendencies, it is not a robust statistic, meaning that it is greatly influenced by outliers. Notably, for skewed distributions, the arithmetic mean may not accord with one's notion of "middle", and robust statistics such as the median may be a better description of central tendency.

2.Arithmetic Median Definition:

Median is the middle value of the given numbers or distribution in their ascending order.Median is the average value of the two middle elements when the size of the distribution is even.

Example 1: To find the median of 4,5,7,2,1 [ODD].

Step 1: Count the total numbers given.

There are 5 elements or numbers in the distribution.

Step 2: Arrange the numbers in ascending order.

1,2,4,5,7

Step 3: The total elements in the distribution (5) is odd.

The middle position can be calculated using the formula. (n+1)/2

So the middle position is (5+1)/2 = 6/2 = 3

The number at 3rd position is = Median = 4

Example 2: To find the median of 4,5,7,2,1,8 [Even]

Step 1: Count the total numbers given.

There are 6 elements or numbers in the distribution.

Step 2: Arrange the numbers in ascending order.

1,2,4,5,7,8

Step 3: The total elements in the distribution (6) is even.

As the total is even, we have to take average of number at n/2 and (n/2)+1

So the position are n/2= 6/2 = 3 and 4

The number at 3rd and 4th position are 4,5

Step 4: Find the median.

The average is (4+5)/2 = Median = 4.5

3.Standard deviation is a widely used measure of variability or diversity used in statistics and probability theory. It shows how much variation or "dispersion" exists from the average (mean, or expected value). A low standard deviation indicates that the data points tend to be very close to the mean, whereas high standard deviation indicates that the data points are spread out over a large range of values.

The standard deviation of a random variable, statistical population, data set, or probability distribution is the square root of its variance. It is algebraically simpler though practically less robust than the average absolute deviation.[1][2] A useful property of standard deviation is that, unlike variance, it is expressed in the same units as the data.

In addition to mathematics and statistics, the arithmetic mean is used frequently in fields such as economics, sociology, and history, though it is used in almost every academic field to some extent. For example, per capita GDP gives an approximation of the arithmetic average income of a nation's population.

While the arithmetic mean is often used to report central tendencies, it is not a robust statistic, meaning that it is greatly influenced by outliers. Notably, for skewed distributions, the arithmetic mean may not accord with one's notion of "middle", and robust statistics such as the median may be a better description of central tendency.

2.Arithmetic Median Definition:

Median is the middle value of the given numbers or distribution in their ascending order.Median is the average value of the two middle elements when the size of the distribution is even.

Example 1: To find the median of 4,5,7,2,1 [ODD].

Step 1: Count the total numbers given.

There are 5 elements or numbers in the distribution.

Step 2: Arrange the numbers in ascending order.

1,2,4,5,7

Step 3: The total elements in the distribution (5) is odd.

The middle position can be calculated using the formula. (n+1)/2

So the middle position is (5+1)/2 = 6/2 = 3

The number at 3rd position is = Median = 4

Example 2: To find the median of 4,5,7,2,1,8 [Even]

Step 1: Count the total numbers given.

There are 6 elements or numbers in the distribution.

Step 2: Arrange the numbers in ascending order.

1,2,4,5,7,8

Step 3: The total elements in the distribution (6) is even.

As the total is even, we have to take average of number at n/2 and (n/2)+1

So the position are n/2= 6/2 = 3 and 4

The number at 3rd and 4th position are 4,5

Step 4: Find the median.

The average is (4+5)/2 = Median = 4.5

3.Standard deviation is a widely used measure of variability or diversity used in statistics and probability theory. It shows how much variation or "dispersion" exists from the average (mean, or expected value). A low standard deviation indicates that the data points tend to be very close to the mean, whereas high standard deviation indicates that the data points are spread out over a large range of values.

The standard deviation of a random variable, statistical population, data set, or probability distribution is the square root of its variance. It is algebraically simpler though practically less robust than the average absolute deviation.[1][2] A useful property of standard deviation is that, unlike variance, it is expressed in the same units as the data.

Added 2/9/2012 6:33:40 PM

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