conduct a quasi experiment, research psychology help

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yhyh125

Humanities

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Basically you will read the discussion post only. Then below you will see two friends who have already answer to the discussion post. What you have to do is respond shortly to the two classmate’s responses on the discussion post which will be located below the discussion post. You may have to zoom in to get a clear view of classmate’s images.

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Read the discussion post below only. Then below you will see two friends who have already answer to the discussion post. What you have to do is respond shortly to your classmate’s response on the discussion post which is below. You may have to zoom in to get a clear view of classmate’s images. Read only Discussion post: Conduct a "quasi-experiment" by gathering the following data: age and height of 20 people. Then plot in a scatterplot (by hand or using a graphing software program such as Microsoft Excel). What does the data tell you? Now using the data you collected, calculate the mean, median, and mode, and then plot these on the same graph as the scatter diagram. What does the diagram tell you? Consider multiple contextual factors. 1. Here is Benda’s response to the discussion post above. Read and shortly respond to Benda’s on she answered to the discussion post. The data I collected does not show any strong correlation between age and height. There was one cluster of scores and several outliers but i don't think any of them effected my results. The mean age was 26.55, the median was 24.5, and the mode was 24. The mean height was 66.55 inches, the median was 65.5, and the mode was 70. The mean and median were fell in the largest cluster of scores. Factors that could potentially influence the correlation between age and height include: gender, genetics, health, and ethnicity. 2. Here is Dougherty response to the discussion post above. Read and shortly respond to Dougherty how she answered to the discussion post. No significant conclusion can be made based on this scatterplot. Although no real hypothesis was drawn to begin with, it would be impossible to disprove the null hypothesis in this case. Because of the wide variability in ages (18-55) of the population, any correlation may be seen simply as expected variability in this given population. However, I know all of these people and thusly random selection was not used, which could also act as a confound. Because this was "quasi-experimental," there was no real dependent variable or treatment condition. The mean, median, and mode, although not truly symmetrical, are so similar that we cannot state any statistically significant results. I did take the outlier out, who was a 33-year old male at 6.8", knowing that this would have increased the mean a lot; I viewed that "dot" as a confounding variable. The mean in the scatterplot was 67.95 inches, which was rounded up to 5'8". The mode was 5'9" and the median is 5'8". Because these numbers are not completely symmetrical, the graph is skewed in a small way. The variance (disclosing the outlier) is 3.74 and the standard deviation or s is 1.93, insinuating that anyone in a given population may very well vary 1.93 inches from the mean average. Although we did not have to plot gender, I did and with that in mind, can easily state a correlation between gender and height: men are generally taller than women, as they are here. However, it is interesting to note that many of the male dots are above 6'0". This could be a confound as well as stated before, considering I am tall and generally spend time and know more taller males than shorter ones. In sum, the scatterplot showed a very small positive correlation; yet this correlation can be attributed to multiple other factors. The wide variability in age makes it impossible to state any significant result whatsoever.
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Good luck in your study and if you need any further help in your assignments, please let me know Can you please confirm if you have received the work? Once again, thanks for allowing me to help you R MESSAGE TO STUDYPOOL NO OUTLINE IS NEEDED AS IT IS A DISCUSSION

Read the discussion post below only. Then below you will see two friends who have already answer to
the discussion post. What you have to do is respond shortly to your classmate’s response on the
discussion post which is below. You may have to zoom in to get a clear view of classmate’s images.
Read only Discussion post: Conduct a "quasi-experiment" by gathering the following data: age and
height of 20 people. Then plot in a scatterplot (by hand or using a graphing software program such as
Microsoft Excel). What does the data tell you? Now using the data you collected, calculate the mean,
median, and mode, and then plot these on the same graph as the scatter diagram. What does the
diagram tell you? Consider multiple contextual factors.
1. Here is Benda’s response to the discussion post above. Read and shortly respond to Benda’s on...


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