In your Week 2 Assignment, you displayed data based on a categorica
In your Week 2 Assignment, you displayed data based on a categorical variable and continuous variable from a specific dataset. In Week 3, you used the same variables as in Week 2 to perform a descriptive analysis of the data. For this Assignment, you will calculate a confidence interval in SPSS for one of the variables from your Week 2 and Week 3 Assignments.
To prepare for this Assignment:
- Review the Learning Resources related to probability, sampling distributions, and confidence intervals.
- For additional support, review the Skill Builder: Confidence Intervals and the Skill Builder: Sampling Distributions, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.
- Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you chose) from Week 2.
- Choose an appropriate variable from Weeks 2 and 3 and calculate a confidence interval in SPSS.
- Once you perform your confidence interval, review Chapter 5 and 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Write a 2- to 3-paragraph analysis of your results and include a copy and paste of the appropriate visual display of the data into your document. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES.
Based on the results of your data in this confidence interval Assignment, provide a brief explanation of what the implications for social change might be.
***also you must receive a 90 percent or better on this assignment***
Running head: SUMMARY STATS 2
Summary Statistics
Jamisha Riddick
Walden University
Introduction Comment by Mark DeVirgilio: use an introduction to outline the assigned tasks
For customers to comprehend these numbers they should know first the thing they are taking a gander at. Here we have separated homes available to be purchased in Boca Raton, FL. Table one recognizes the mean, median, range, and the standard deviation of the selling cost of homes here. The mean is the average expense of homes in the region; adding all the qualities and isolating it by the number of qualities is the way you compute it. (Bowerman, O'Connell, Murphree, 2014) For this situation, the average expense of homes selling around there is $268.32 thousand. To get the median you orchestrate all the qualities altogether from most reduced to most elevated. The median is the center scope of homes available to be purchased in the region. The mean for Boca Raton is $256.85 thousand. The reach reveals to you essential data it tells you the contrast between the most noteworthy and least valued home. Here, there is a $427.7 thousand contrast here. The standard deviation shows you how intently your information is grouped around your mean. The lesser the standard deviation the quicker the value is to the mean. The higher the number the further from the means, which would reveal to us the homes are evaluated higher than the average. Table 2 beneath shows us that the mean or average home is 3067.30 square feet. The median for size is 2808 square feet. The reach for the area of these homes is 6394 and the standard deviation is 1085.37. Comment by Mark DeVirgilio: please read and follow instructions
Table 3 above gives us the mode of a number of rooms. The mode is the most continuous repeating esteem. In our information, it shows that homes with 2.5 washrooms are the most well-known.
The histogram above shows that most of the homes here are estimated between $200,001-$250,000. The histogram additionally gives the customer an image of what the value ranges are for the whole zone.
References
Bowerman, B., O’Connell, R., and Murphree, E. (2014) Business Statistics in Practice
(7ted.) New York, NY: McGraw-Hil
Analysis and Results 0/40
– assignment does not cover the required tasks
Writing 0/20
– please read and follow directions
0/60
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