Assignment 1

tempMAT210

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Week 3 Assignment 1

Week 3 Assignment: The Foundation of Data-Driven Decisions

Levels of Achievement

Criteria UnacceptableBelow 60% F Needs Improvement 65% D

Satisfactory 75% C

Competent 85% B

Exemplary 100% A

MAT210-A1-1 1.Describe the difference between descriptive and inferential statistical methods using examples. (#1).

0.00 % Does not describe the difference between descriptive and inferential statistical methods.

65.00 % Describes descriptive or inferential statistical methods

75.00 % Describes the difference between descriptive and inferential statistical methods.

85.00 % Describes the difference between descriptive and inferential statistical methods and provides examples of each.

100.00 % Describes the difference between descriptive and inferential statistical methods and provides examples of each and how they can be used to draw conclusions in the real world.

MAT210-A1-2 2.Describe strategies for all four steps used to solve statistical word problems and hypothesis testing

0.00 % Does not identify strategies to solve statistical word problems and hypothesis testing.

65.00 % Describes strategies first least one step used to solve statistical word problems and hypothesis testing.

75.00 % Describes strategies first least two steps used to solve statistical word problems and hypothesis testing.

85.00 % Describes strategies for at least three steps used to solve statistical word problems and hypothesis testing.

100.00 % Describes strategies for all four steps used to solve statistical word problems and hypothesis testing.

MAT210-A1-3 3. Explain what quality data is, how quality is determined, and why it is important when gathering data and reporting results

0.00 % Does not explain what quality data is, how quality is determined, and why it is important when gathering data and reporting results.

65.00 % Lists elements of quality data

75.00 % Explains what quality data is.

85.00 % Explains what quality data is and how quality is determined.

100.00 % Explains what quality data is, how quality is determined, and why it is important when gathering data and reporting results.

Name

Description

Rubric Detail

Weight 20.00%

Weight 20.00%

Weight 20.00%

11/17/2020 tempMAT210

Levels of Achievement

Criteria UnacceptableBelow 60% F Needs Improvement 65% D

Satisfactory 75% C

Competent 85% B

Exemplary 100% A

MAT210-A1-4 4. Explain how one would use data/statistics and the analysis steps you would take to solve real- world problems that benefit from data-driven solutions

0.00 % Does not explain how one would use data/statistics and the analysis steps you would take to solve real-world problems that benefit from data-driven solutions.

65.00 % Provides one example of real-world problems without explanation of how data/statistics could be used.

75.00 % Explains how one would use data/statistics to solve real-world problems that benefit from data-driven solutions. Or provides two example(s) of real-world problems without explanation of how data/statistics could be used.

85.00 % Explains how one would use data/statistics and the analysis steps you would take to solve real- world problems that benefit from data-driven solutions using at least one example.

100.00 % Explains how one would use data/statistics and the analysis steps you would take to solve real- world problems that benefit from data-driven solutions using two examples.

MAT210-A1-5 5. Explain how analyzing data aids in problem- solving and drawing conclusions, including at least two values and benefits

0.00 % Does not explain how analyzing data aids in problem- solving and drawing conclusions, including values and benefits .

65.00 % Lists elements of data analysis.

75.00 % Explains elements of analyzing data.

85.00 % Explains how analyzing data aids in problem- solving and drawing conclusions. Includes a value or a benefit.

100.00 % Explains how analyzing data aids in problem- solving and drawing conclusions, including at least two values and benefits.

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Weight 20.00%