I need a Result and Discussion that will support the paper in the browse file below.

Individual_Worksheet_Resultsanddiscussion.docx

Home >Psychology homework help >I need a Result and Discussion that will support the paper in the browse file below.

Results (5 points)

Instructions: Please draft an outline of your results. Refer to the Individual Project Rubric and the Project Guidelines slideshow for guidance. The Results section should be briefly describe the data without expanding upon the methods or making conclusions. Describe the data in the text and using figures or tables. Report descriptive and inferential statistics. I acknowledge that some of you may not have taken courses in Statistics or Research Methods yet. Refer to those in your group who have. Do the best you can given the examples from this class and seek help from the instructor when needed. Because we don’t have time or permission to collect data for this course, we will be using random number generators to create fake datasets to analyze. Of course, it is never appropriate to manufacture data in a real experiment, but this will give you an opportunity to work with raw data in the context of this course.

1. Manufacture data that supports your hypothesis

a. You may also elect to manufacture data that contradicts your hypothesis.

b. Use the following web sites to create a dataset:

i. http://www.generatedata.com/

ii. http://www.apa.org/research/responsible/data-links.aspx

iii. https://www.randomizer.org/

2. Describe the outcome of your experiment

3. Include descriptive statistics that describe the data within groups

a. Refer to the Course Documents for materials that describe how to compute the following statistics.

b. For each group, provide the mean (i.e., the average) and a measure of error (e.g., standard deviation, standard error, or confidence intervals).

c. Use the appropriate SI units (http://physics.nist.gov/cuu/Units/units.html).

d. Report raw data and not percentages. Do not report percentages because they describe the proportion of the total population. Technically, there is no measure of error on a percentage despite what you see in the newspaper or TV.

4. Include inferential statistics to describe the relationship between groups

a. Refer to the Course Documents for materials that describe how to compute the following statistics.

b. If you kept your experiment simple, you are most likely comparing the mean of two groups using a t-test.

c. E.g., “The mean reaction times for students in the caffeine condition were 1.25 sec (SD = 0.25 sec), and reaction times for students in the placebo condition were 1.5 sec (SD = 0.10 sec). Our results indicate that students in the caffeine condition were faster than students in the placebo condition (t-test, p < 0.05).”

5. Create figures or tables to describe your data

a. When possible use figures instead of tables. A picture is worth a 1000 words.

b. You can create figures in PowerPoint. Double click the figure in the Project Guidelines to see how. Refer to the Course Documents for materials on making figures as well.

c. For a paper, figures go at the end of the paper and you refer to them in the text like this (Figure 1).

Discussion (5 points)

Instructions: Please draft an outline of your Discussion. Refer to the Individual Project Rubric and the Project Guidelines slideshow for guidance. Whereas the Introduction starts with general descriptions to motivate a specific thesis statement, the Discussion goes from a specific conclusion and relates that conclusion to more general ideas. It is important to place your experiment within context of current theories. Yours is just one of many experiments in history that may address a topic. You are participating in a conversation with other scientists in your publication. It is important to address the following in order:

1. Restate the thesis as a conclusion

2. Briefly explain how your results support the thesis

3. Explain how your experiment solves a major problem in the field

a. Explicitly relate this work to the studies cited in your Intro.

4. Explain how solving this problem further advances the field

a. Highlight the social relevance of this work.

5. In subsequent sections you should

a. Relate your work to other studies in the field

b. Address potential problems with the study

c. Discuss implications of your study on the field

d. Describe potential future experiments or problems remaining to be solved

Results (5

points)

Instructions

: Please draft an outline of your results. Refer to the

Individual

Project Rubric and the Project

Guidelines slideshow for guidance. The Results section should be briefly describe the data without

expanding upon the methods

or making conclusions. Describe the data in the text and using figures or

tables. Report descriptive and inferential statistics. I acknowledge that some of you may not have taken

courses in Statistics or Research Methods yet. Refer to those in your group

who have. Do the best you

can given the examples from this class and seek help from the instructor when needed. Because we don’t

have time or permission to collect data for this course, we will be using random number generators to

create fake datasets to a

nalyze. Of course, it is never appropriate to manufacture data in a real

experiment, but this will give you an opportunity to work with raw data in the context of this course.

anufacture data that support

your hypothesis

You may also elect to manufactu

re data that contradicts your hypothesis.

Use the following web sites to create a dataset:

http://www.generatedata.com/

ii.

http://www.apa.org/research/responsible/data

links.aspx

iii.

https://www.randomizer.org/

escribe

the outcome of your experiment

Include d

esc

riptive statistics that d

escribe the data within groups

Refer to the Course Documents for materials that describe how to compute the following

statistics.

For each group, provide the mean (i.e., the average) and a measure of error (e.g., standard

deviation

, standard error, or confidence intervals).

Use the appropriate SI units (

http://physics.nist.gov/cuu/Units/units.html

)

Report raw data and not percentages. Do not report percentages because they describe the

proportion of the total population.

Technically, there is no measure of error on a percentage

despite what you see in the newspaper or TV.

Include i

nferential statistics

to describe the relationship between

groups

Refer to the Course Documents for materials that describe how to compute the

following

statistics.

If you kept your experiment simple, you are most likely comparing the mean of two groups

using a

test

E.g., “The mean reaction times for students in the caffeine condition were 1.25 sec (SD = 0.25

sec), and reaction times for stude

nts in the placebo condition were 1.5 sec (SD = 0.10 sec).

Our results indicate that students in the caffeine condition were faster than students in the

placebo condition (t

test, p < 0.05).”

Create figures or tables to describe your data

When possible use

figures instead of tables. A picture is worth a 1000 words

You can create figures

in PowerPoint. Double click the

figure

in the Project Guidelines

to see

how.

Refer to the Course Documents for materials on making figures as well.

For a paper, figures go

at the end of the paper and you refer to them

in the text like this (Figure

Discussion (5 points)

Instructio

ns: Please draft an outline of your Discussion. Refer to the Individual Project Rubric and

the Project Guidelines slideshow for guidance. Whereas the Introduction starts with general

Results (5 points)

Instructions: Please draft an outline of your results. Refer to the Individual Project Rubric and the Project

Guidelines slideshow for guidance. The Results section should be briefly describe the data without

expanding upon the methods or making conclusions. Describe the data in the text and using figures or

tables. Report descriptive and inferential statistics. I acknowledge that some of you may not have taken

courses in Statistics or Research Methods yet. Refer to those in your group who have. Do the best you

can given the examples from this class and seek help from the instructor when needed. Because we don’t

have time or permission to collect data for this course, we will be using random number generators to

create fake datasets to analyze. Of course, it is never appropriate to manufacture data in a real

experiment, but this will give you an opportunity to work with raw data in the context of this course.

1. Manufacture data that supports your hypothesis

a. You may also elect to manufacture data that contradicts your hypothesis.

b. Use the following web sites to create a dataset:

i. http://www.generatedata.com/

ii. http://www.apa.org/research/responsible/data-links.aspx

iii. https://www.randomizer.org/

2. Describe the outcome of your experiment

3. Include descriptive statistics that describe the data within groups

a. Refer to the Course Documents for materials that describe how to compute the following

statistics.

b. For each group, provide the mean (i.e., the average) and a measure of error (e.g., standard

deviation, standard error, or confidence intervals).

c. Use the appropriate SI units (http://physics.nist.gov/cuu/Units/units.html).

d. Report raw data and not percentages. Do not report percentages because they describe the

proportion of the total population. Technically, there is no measure of error on a percentage

despite what you see in the newspaper or TV.

4. Include inferential statistics to describe the relationship between groups

a. Refer to the Course Documents for materials that describe how to compute the following

statistics.

b. If you kept your experiment simple, you are most likely comparing the mean of two groups

using a t-test.

c. E.g., “The mean reaction times for students in the caffeine condition were 1.25 sec (SD = 0.25

sec), and reaction times for students in the placebo condition were 1.5 sec (SD = 0.10 sec).

Our results indicate that students in the caffeine condition were faster than students in the

placebo condition (t-test, p < 0.05).”

5. Create figures or tables to describe your data

a. When possible use figures instead of tables. A picture is worth a 1000 words.

b. You can create figures in PowerPoint. Double click the figure in the Project Guidelines to see

how. Refer to the Course Documents for materials on making figures as well.

c. For a paper, figures go at the end of the paper and you refer to them in the text like this (Figure

1).

Discussion (5 points)

Instructions: Please draft an outline of your Discussion. Refer to the Individual Project Rubric and

the Project Guidelines slideshow for guidance. Whereas the Introduction starts with general