# ANY, U CHOOSE

STEP 1:

Answer each of the following questions regarding your project progress

● What have you completed since finalizing your project topic and data collection

methodology?

● Have you completed your data collection?

● Did you encounter any unexpected problems?

● What will you be working on between now and when progress report #2 is due?

○ You might need to finish up on your data collection if you have not yet completed

it.

○ For data analysis, you should be planning on some some combination of the

below items to better understand your data but should NOT think you need to use

every one of them:

■ Percents and/or other rates

■ Possible grouping of responses when the variety/range of the answers

you received is too large to be manageable

■ Construction of tables

■ Construction of charts/graphs, some examples of which are:

■ Single-variable graphs include bar/column graphs, pie charts, and

histograms

■ Time series line graphs

■ Two-variable (paired data) graphs include scatter plots,

side-by-side bar/column graphs, and stacked bar/column graphs

■ Calculation of measures of center (mean, median, and/or mode)

■ Calculation of measures of position (percentiles, quartiles)

■ Calculation of measures of variation (range, inter-quartile range, standard

deviation)

■ Calculation of linear correlation and regression coefficients for paired

quantitative variables

The statistical process is described in broad terms in section 1.1 of our course textbook with

literally the rest of the book covering detailed classifications and procedures. So far, how does

your project work compare to what you learned in MyStatLab? Write a paragraph (at least 3

complete sentences) that either summarizes the overall comparison or that highlights some

particular item(s) you found notable. For example, you might describe how your data collection

STEP 2:

At this point you would want to have completed your data analysis and have a reasonable idea

of how your data addresses your project topic. Keep in mind your data might not have gone the

way you “wanted” it to, but that will happen sometimes. Unfortunately, we cannot always be

“right.”

Answer each of the following questions relating to your project progress:

● What have you completed since submitting progress report 1?

○ Did you complete everything you intended to? If not, was what you completed

enough for you to get to know your data and plan a submission format to share

your data and findings? Is there more you need to do in order to get to know

what your data is telling you?

● What submission format are you most likely to use for the completed project? Instead of the usual research report, have you considered something more exotic, such as a video, a magazine article, or a website? My recommendation is to create a website because of the flexibility it allows you.

○ If you completed your data analysis and have a reasonable understanding of how

your data relates to your project topic, you will need to decide on a format and

put together a project submission.

■ IMPORTANT: You might not need/want to include all of your analysis

items in your submission. For example, if you determined that you

collected data on an irrelevant variable, you might not include any tables

or graphs relating to that variable in your submission. In this case, it

would be best to just to mention somewhere in your submission that you

looked into the variable and did not find it relevant to your topic.

○ If you are not done with your data analysis, what will you do to finish it up then

create a suitable submission by the due date?

■ IMPORTANT: If things did not go the way you “wanted” them to, it is NOT

a good idea to try to re-start your project by collecting new data. For this

class, it is better that you include as a part of your conclusion that the

data collected does not support the position you thought it would.

○ Be sure to take a look at the scoring rubric in the submission and self-evaluation

assignment so you are aware of what is expected in order for you to be eligible

for full credit.

As you did for the first progress report, think about what you have learned in MyStatLab and

what you have learned in your continued work while working on this project. Write a paragraph

(at least 3 complete sentences) that either summarizes the overall comparison or that highlights

some particular item(s) you found notable. For example, you might describe how what you

learned from creating graphs for your data either reinforced or changed your perception of data

presentation as it was covered in chapter 2. Your paragraph might be quite similar to the one

you submitted in the first progress report but since you have going through different parts of the

statistical process, don’t be surprised if you have new insights (and/or frustrations).

work reinforced or changed your perception of sampling as it was covered in MyStatLab.

PLEASE ANSWER ALL QUESTIONS PLEASE, THIS IS 100% IF ANSWERING ALL BELOW..

● All data and variables are correctly described as qualitative or quantitative (SLO 1)

● Where applicable, suspected explanatory and response variables are appropriately

described (SLO 1)

● Appropriate graphs (aka charts) of data for relevant variables are included (SLO 1, 2)

○ For each relevant variable (or pair of variables) there is at least one graph.

○ Graph types are appropriate to the data/variable classifications.

■ Single variable data data can be appropriately displayed in a bar graph,

pie chart, histogram, as well as other types of graphs.

■ Time-series quantitative data can be appropriately displayed in a line

graph as well as other types of graphs.

■ Paired variable data can be appropriately displayed in a scatter plot

(paired quantitative variables), side-by-side or stacked bar graph (paired

qualitative variables), as well as other types of graphs

○ Graphs are constructed and displayed appropriately.

■ Each graph displays the respective data correctly.

■ Each graph is sufficiently and accurately labeled.

■ Each graph is displayed at an appropriate location in the submission.

■ Each graph is adequately described, explained, and/or referenced in the

submission’s narrative.

● Appropriate calculated/identified statistics are included (SLO 1, 3)

○ For each relevant variable, at least one calculated/identified statistic is included.

○ Calculated/identified statistics are appropriate to the data/variable classification.

■ Relative frequencies (equivalently, proportions or percents) are

appropriate for qualitative data.

■ The mean can be an appropriate measure of center for interval and ratio

level data.

■ The median can be an appropriate measure of center for ordinal, interval,

and ratio level data.

■ The mode can be an appropriate measure of center for all data including

grouped data.

■ The range, standard deviation, inter-quartile range, and percentiles are

appropriate for interval and ratio level data.

○ Statistics are calculated/identified and referenced appropriately.

■ Each statistic is correctly calculated/identified using a widely accepted

formula/procedure.

■ Each statistic is appropriately described, explained, and/or referenced in

the submission’s narrative

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