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Statistics Project 
Statistics Project
Students will design either a survey or an experiment to collect the data necessary to conduct a hypothesis test to answer a question of their choosing.
Rubric Code: P8746B
By Tiombe
Ready to use
Public Rubric
Subject: Math  
Type: Project  
Grade Levels: 9-12, Undergraduate

Powered by iRubric Statistics Project
Students' final project conducting a hypothesis test using their own data to answer their own question
  Poor

Fails to meet the minimum requirements for a passing grade.

1 pts

Fair

Meets the minimum requirements for a passing grade.

2 pts

Good

Goes somewhat beyond the requirements for a passing grade.

3 pts

Excellent

Goes well beyond the requirements for a passing grade.

4 pts

Research Question
1 pts

The question chosen must be appropriate for the statistical methods studied in this course.
Poor

The question is not appropriate for the purposes of this project.
The question does not require the use of any of the strategies used in this class to answer it.
Fair

The question is not of interest to the class.
The question has already been studied in some depth in class.
The question can be answered either without the student collecting his/her own data or without conducting a hypothesis test
Good

The question posed has some interest to the student, but perhaps not to the class.
The question has been minimally touched upon in class but not studied in depth.
The question does not require the student to collect his/her own data but does require a hypothesis test to answer it
Excellent

Question posed is of substantial interest to the student and class. Question is original and has not been studied before in class.
Question requires the use of a data collection method and a hypothesis test in order to answer it
Data Collection Strategy
3 pts

Survey/experiment design must be appropriate for the type of data needed in order to answer the question posed.
Poor

Incorrect sampling techniques used or inappropriate treatments are used for the experiment. Treatments aren't randomly assigned in the experiment.
Insufficient sample size (less than 10);
more than four survey questions are written with a bias; there was no control group in the experiment; more than four survey questions were not asked in a sufficiently neutral manner; the recorded data is too unreliable to be able to use it.
Fair

Incorrect sampling techniques used or treatments aren't randomly assigned in the experiment.
Insufficient sample size (10-14);
three or four survey questions are written with a bias; there was no control group in the experiment; three or four survey questions were not asked in a sufficiently neutral manner; the recorded data is likely to be unreliable due to problems listed above.
Good

Sampling techniques may not have worked out or treatments aren't randomly assigned in the experiment.
Sample size is barely large enough to gather sufficient data (=15).
one or two survey questions are written with a bias; experiment control group may not have worked out due to confounding variables; one or two survey questions were not asked in a sufficiently neutral manner; data is collected and recorded, but may be unreliable due to bias.
Excellent

Appropriate sampling techniques are used for the survey or appropriate random assignment of treatments is used in an experiment.
Sample size is large enough(>15)
Survey questions are written without bias; experiment is designed using a control group.
Survey questions are asked in a neutral manner; experiment is conducted in a non-confounding manner.
Appropriate data is collected and recorded.
Hypothesis test
2 pts

Choose the correct hypothesis test to use based on your question/ data collected.
Poor

The test selected for the type of question posed and the data collected is incorrect; either the null hypothesis or the alternative hypothesis is not correct, or both are not correct. No identification of one-or two-tailed test.
Fair

The correct test is selected for the type of question posed and the data collected but the test is incorrectly named; either the null hypothesis or the alternative hypothesis is not correct. No identification of one- or two-tailed test.
Good

The correct test is selected for the type of question posed and the data collected but the test is not correctly named; the null and alternative hypotheses are correct. One- or two-tailed test may not be correctly identified.
Excellent

The correct test is selected for the type of question posed and the data collected; the test is correctly named; the null and alternative hypotheses are correct.
One- or two-tailed test is correctly identified.
Conditions
1 pts

List and check the correct conditions for the type of hypothesis test and data being used
Poor

Conditions were not checked.
Fair

At least two of the appropriate conditions for the hypothesis test being used are listed.
The work isn't shown to demonstrate the conditions have all been met, or there may be three or more errors.
No explanation is given for proceeding with the test for any condition that was not checked.
Good

At least three of the appropriate conditions for the hypothesis test being used are listed.
The work is shown to demonstrate the conditions have all been met, but there may be one or two errors.
No explanation is given for proceeding with the test for any condition that was checked and not met.
Excellent

All the appropriate conditions for the hypothesis test being used are listed.
All the work is shown to demonstrate the conditions have all been met.
A reasonable explanation is given for proceeding with the test for any condition that was checked and not met.
Calculations
3 pts

Perform all the necessary calculations showing the correct formulas
Poor

None of the necesarry calculations are shown; The standard error is not correctly determined, the test statistic is incorrect, the p-value is incorrect for both one- and two-tailed test.
Fair

Only one or two of the necesarry calculations are shown; one or two calculations may not be complete.
The standard error is not correctly determined, the test statistic is calculated to only 1 decimal place, the p-value is incorrect for both one- and two-tailed test.
Good

All necesarry calculations are shown but may not be complete.
The standard error is correctly determined, the test statistic is calculated to at least 2 decimal places, the p-value is correct for a one-tailed test but not for the two-tailed test when in fact a two-tailed test is needed.
Excellent

All necesarry calculations are shown and complete.
The standard error is correctly determined ; the test statistic is calculated to at least 3 decimal places, the p-value is correct for the one- or two-tailed test.
Decision
2 pts

Determine to reject or fail to reject your null hypothesis.
Poor

The decision made is incorrect, with respect to the null hypothesis, with no appropriate reference to either the size of the p-value or a pre-determined level of significance.
Fair

The decision made is incorrect, with respect to the null hypothesis, based on the size of the p-value and a pre-determined level of significance.
Good

The correct decision is made , but with respect to the alternative hypothesis when it should be with respect to the null hypothesis, based on the size of the p-value and a pre-determined level of significance.
Excellent

The correct decision is made with respect to the null hypothesis based on the size of the p-value and a pre-determined level of significance.
Conclusion and summary
3 pts

Determine your conclusion and summarize your findings.
Poor

The conclusion is incorrect based on the collected data, the p-value and the pre-determined level of significance.
The limitations of the study/experiment are not addressed; no suggestions for improving the study/experiment are given.
Fair

The conclusion is incorrectly stated with respect to the null hypothesis rather than the alternative hypothesis. The findings of the study/experiment are minimally summarized; there is no generalization of the findings to the appropriate population. No limitations of the study/experiment are acknowleged. No improvements to the study/experiment are recommended.
Good

The conclusion is correctly stated with respect to the alternative hypothesis. The findings of the study/sxperiment are not fully summarized or there is no generalization of the findings to the appropriate population. Not all limitations of the study/experiment are acknowleged. At least one improvement to the study/experiment is recommended.
Excellent

The conclusion is correctly stated with respect to the alternative hypothesis. The findings of the study/sxperiment are fully summarized and generalized to the appropriate population. Limitations of the study/experiment are acknowleged. Two or more improvements to the study/experiment are recommended.



Keywords:
  • hypothesis test, conditions, null hypothesis, alternate hypothesis, standard error, sample, bias, control group, confounding variable, treatment

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