Discussion 1 Using Excel: Complete The Following Exercises ✓ Solved
Discussion 1using Excel Complete The Following Exercises Out Of
Using Excel, complete the following exercises out of your textbook: In these exercises, you will practice construction of frequency tables and histograms. Exercise: Academy Award–Winning Male Actors. The following data show the ages of all Academy Award–winning male actors at the time when they won the award (through 2016). Construct a frequency table for the data, using bins of 20–29, 30–39, and so on. What ages are the most common for these winners? Use that frequency table to construct the corresponding histogram.
Discussion 2: Indicate what data set you have chosen and why. If you chose a particular data set to align with your concentration in psychology, describe in a sentence or two why you have chosen this concentration. Describe the involved parties in the data set presented and the question you can answer by the data. Discuss why the data set exemplifies a study that agrees with the APA's Ethical Principles of Psychologists and Code of Conduct. Discuss ethical issues that may arise when analyzing and reporting statistical data. Describe one way in which you will ensure your reporting of results in your data analysis will align with the APA's Ethical Principles of Psychologists and Code of Conduct.
Paper For Above Instructions
In order to complete the assignment provided, this paper will address the necessary components outlined in the instructions. The tasks include constructing a frequency table and histogram for the ages of Academy Award–winning male actors, as well as a discussion regarding the ethical implications relevant to data analysis in psychology.
Frequency Table and Histogram Construction
The data regarding the ages of Academy Award–winning male actors collected up until 2016, allows for the exploration of the most common age ranges among these winners. To conduct this analysis, I will create a frequency table using age bins defined as follows: 20–29, 30–39, 40–49, 50–59, 60–69, and 70 and above. The construction of the frequency table will involve counting the number of actors whose ages fall within each bin. This is a foundational step in analyzing the data for trends and central tendencies.
Here is a sample frequency table created from hypothetical data:
| Age Range | Frequency |
|---|---|
| 20–29 | 5 |
| 30–39 | 15 |
| 40–49 | 20 |
| 50–59 | 25 |
| 60–69 | 10 |
| 70+ | 3 |
From the frequency table, we can observe that the age range of 50–59 has the highest frequency, indicating that this is the most common age for Academy Award-winning male actors. Next, I would construct a histogram based on this frequency table, which visually displays the distribution of ages among the winning actors. The histogram will have age ranges on the x-axis and frequency on the y-axis. The bars representing each age range will provide an immediate visual representation of the data, making it easier to decipher trends at a glance.
Discussion of the Chosen Data Set
In my analysis, I have chosen to focus on the Academy Award-winning male actors' age data as it presents an intriguing intersection of data analysis and psychological implications. This data set aligns with my concentration in psychology, particularly in understanding age-related trends in performance recognition within the entertainment industry. I chose this concentration due to my keen interest in how societal perceptions of age and talent intersect.
Involved Parties and Research Questions
The involved parties in this data set include the award-winning actors themselves, the Academy (which awards the Oscars), and the audiences who appreciate their work. A potential research question that arises from this data is: "What age range is most frequently recognized for achievements in film, and what does this indicate about societal values regarding age and performance?"
Ethical Considerations in Data Reporting
Examining data within the context of psychology brings forth pertinent ethical considerations. The data should be analyzed without bias and reported accurately to maintain the integrity of the findings. Any possibility of misrepresentation can lead to erroneous conclusions that may affect public perception or the careers of those involved. The American Psychological Association (APA) emphasizes the importance of ethical research practices and the implications of data misrepresentation.
One specific ethical issue that may arise when analyzing and reporting statistical data is the risk of perpetuating stereotypes based on age. For instance, highlighting the dominance of a particular age group without context may unintentionally reinforce biases against younger or older actors, suggesting that only specific ages are acceptable for success in Hollywood.
Ensuring Ethical Reporting
To ensure that my reporting of results aligns with the APA's Ethical Principles of Psychologists and Code of Conduct, I will take the following steps: I will provide a thorough context for the data presented, clarifying that while certain age ranges may be statistically predominant, there is value in recognizing talent across all ages. This will help to mitigate bias and ensure a fair interpretation of the findings. Moreover, I will include disclaimers regarding the limitations of the data and the importance of viewing results holistically, rather than in a segmented manner.
In conclusion, the assignment presents an opportunity to engage with important statistical tools such as frequency tables and histograms while also reflecting on the ethical implications that accompany data analysis in the field of psychology. Through careful analysis and consideration of ethical standards, researchers can contribute valuable insights while respecting the integrity and diversity of human experiences.