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gregori [183]
3 years ago
8

Math geometry question 3, Thanks if you help

Mathematics
2 answers:
Nonamiya [84]3 years ago
4 0

Answer:

7 units I think

Step-by-step explanation:

am I right

Anastaziya [24]3 years ago
4 0

Answer:

Step-by-step explanation:

yes

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Earning for 3weeks from a part time job shown in the table . He is offered a job that will pay 7.25 per hour . Which job pays be
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7.25 hour is better because multiply by eleven and its 79.75 which is higher than the on on the table

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3 years ago
In an experiment examining the effects Tai Chi on arthritis pain, Callahan (2010) selected a large sample of individuals with do
Volgvan

Answer:

a) Participants in Tai Chi course

b) Nominal

c) Magnitude of arthritis pain

d) Ordinal

Step-by-step explanation:

TYPES OF VARIABLES:

  • Independent Variable:

An independent variable is the one controlled or changed in an experiment to test the effects on the dependent variable. If this variable is changed, there shall be effects on the experiment.

In this case, number of participants in the course was independent.

  • Dependent Variable:

Dependent variable is the one being tested and measured. If the independent variable changes, this variable will show the effect of the changes.

<em>The variables can be determined by their cause and effect on the experiment.</em>

TYPES OF SCALES:

<em>There are two variations in types of scales; Quantitative and Qualitative.</em>

<em>Qualitative variables are measured by either nominal or ordinal scale, while quantitative variables are measured by ratio or interval.</em>

  • Nominal scale:

Nominal scales assign identifiers as labels to objects or classes of objects. The  assigned numbers carry no additional meaning except as identifiers for example: patient A, patient B etc.  

  • Ordinal scale:

Ordinal scales assign numbers to objects to rank  an attribute. For example: Level of pain 1 - 10, Level of satisfaction etc.

  • Interval:

In an interval scale, numbers are  assigned to objects such that the interval helps in interpretation of the variables. For example: age of patients: 30 - 40, 40 - 50 etc.

  • Ratio:

Ratio scales includes an absolute “zero” point. For example, Rate of arthritis in patients of a particular age etc.

4 0
3 years ago
Sara is a librarian and works at least 10 hours per week. If Sara would like to work extra shifts, they are added to her
slava [35]

Answer:

she will work forever

I don't know sorry i tried to answer it

Step-by-step explanation:

8 0
3 years ago
Akikta bought 25 trees for $15.40 each. Chloe bought 35 trees for $14.30 each. What was the difference between the total amounts
cupoosta [38]

Answer: $115.50

Step-by-step explanation:

500.5-385 = x

3 0
3 years ago
What is typically used to quantitatively compare the effectiveness of layouts? A. trial and error B. load-distance model C. expo
Andre45 [30]

Answer:

B. load-distance model

Step-by-step explanation:

A. trial and error

Trial and error is "a fundamental method of problem solving. It is characterised by repeated, varied attempts which are continued until success". But this method is not the best in order to compare effectiveness of layouts

B. load-distance model

The load-distance method is a "mathematical model used to evaluate locations based on proximity factors. The objective is to select a location that minimizes the total weighted loads moving into and out of the facility. The distance between two points is expressed by assigning the points to grid coordinates on a map". And that's the correct option since we are trying to measure the effectiveness of layouts quantitatively.

C. exponential smoothing

This is "a rule of thumb technique for smoothing time series data using the exponential window function". Wheighting observations using the exponential function. But this is a techinique used to smooth s time series not to compare effectiveness of layouts.

D.process control charts

The Control Chart is a "graph used to study how a process changes over time with data plotted in time order". But we don't want to see how the process changes the objective is quantitatively compare the effectiveness of layouts, and this one is not the best option for this.

E. mean absolute deviation (MAD)

The median absolute deviation(MAD) is "a robust measure of how spread out a set of data is. The variance and standard deviation are also measures of spread, but they are more affected by extremely high or extremely low values and non normality". But again is just a measure of spread and not allow to compare effectiveness of layouts.

8 0
3 years ago
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