Use the AIDS data from the
practice for this section , but this time use the columns “year #” and “# new AIDS deaths in U.S.” Answer all of the questions from the practice again, using the new columns.
The height (sidewalk to roof) of notable tall buildings in America is compared to the number of stories of the building (beginning at street level). (Source:
Microsoft Bookshelf )
Height (in feet)
Stories
1050
57
428
28
362
26
529
40
790
60
401
22
380
38
1454
110
1127
100
700
46
Using “stories” as the independent variable and “height” as the dependent variable, make a scatter plot of the data.
Does it appear from inspection that there is a relationship between the variables?
Calculate the least squares line. Put the equation in the form of:
Find the correlation coefficient. Is it significant?
Find the estimated heights for 32 stories and for 94 stories.
Use the two points in (e) to plot the least squares line on your graph from (b).
Based on the above data, is there a linear relationship between the number of stories in tall buildings and the height of the buildings?
Are there any outliers in the above data? If so, which point(s)?
What is the estimated height of a building with 6 stories? Does the least squares line give an accurate estimate of height? Explain why or why not.
Based on the least squares line, adding an extra story is predicted to add about how many feet to a building?
What is the slope of the least squares (best-fit) line? Interpret the slope.
Yes
0.9436; yes
478.70 feet; 1207.73 feet
Yes
Yes;
172.98; No
11.7585 feet
slope = 11.7585. As the number of stories increases by one, the height of the building tends to increase by 11.7585 feet.
Below is the life expectancy for an individual born in the United States in certain years. (Source:
National Center for Health Statistics )
Year of Birth
Life Expectancy
1930
59.7
1940
62.9
1950
70.2
1965
69.7
1973
71.4
1982
74.5
1987
75
1992
75.7
2010
78.7
Decide which variable should be the independent variable and which should be the dependent variable.
Draw a scatter plot of the ordered pairs.
Calculate the least squares line. Put the equation in the form of:
Find the correlation coefficient. Is it significant?
Find the estimated life expectancy for an individual born in 1950 and for one born in 1982.
Why aren’t the answers to part (e) the values on the above chart that correspond to those years?
Use the two points in (e) to plot the least squares line on your graph from (b).
Based on the above data, is there a linear relationship between the year of birth and life expectancy?
Are there any outliers in the above data?
Using the least squares line, find the estimated life expectancy for an individual born in 1850. Does the least squares line give an accurate estimate for that year? Explain why or why not.
What is the slope of the least squares (best-fit) line? Interpret the slope.
The percent of female wage and salary workers who are paid hourly rates is given below for the years 1979 - 1992. (Source:
Bureau of Labor Statistics, U.S. Dept. of Labor )
Year
Percent of workers paid hourly rates
1979
61.2
1980
60.7
1981
61.3
1982
61.3
1983
61.8
1984
61.7
1985
61.8
1986
62.0
1987
62.7
1990
62.8
1992
62.9
Using “year” as the independent variable and “percent” as the dependent variable, make a scatter plot of the data.
Does it appear from inspection that there is a relationship between the variables? Why or why not?
Calculate the least squares line. Put the equation in the form of:
Find the correlation coefficient. Is it significant?
Find the estimated percents for 1991 and 1988.
Use the two points in (e) to plot the least squares line on your graph from (b).
Based on the above data, is there a linear relationship between the year and the percent of female wage and salary earners who are paid hourly rates?
Are there any outliers in the above data?
What is the estimated percent for the year 2050? Does the least squares line give an accurate estimate for that year? Explain why or why not?
What is the slope of the least squares (best-fit) line? Interpret the slope.
Yes
0.9448; Yes
62.8233; 62.3265
yes; (1987, 62.7)
72.5937; No
slope = 0.1656. As the year increases by one, the percent of workers paid hourly rates tends to increase by 0.1656.
Questions & Answers
I'm interested in biological psychology and cognitive psychology
Communication is effective because it allows individuals to share ideas, thoughts, and information with others.
effective communication can lead to improved outcomes in various settings, including personal relationships, business environments, and educational settings. By communicating effectively, individuals can negotiate effectively, solve problems collaboratively, and work towards common goals.
it starts up serve and return practice/assessments.it helps find voice talking therapy also assessments through relaxed conversation.
miss
Every time someone flushes a toilet in the apartment building, the person begins to jumb back automatically after hearing the flush, before the water temperature changes. Identify the types of learning, if it is classical conditioning identify the NS, UCS, CS and CR. If it is operant conditioning, identify the type of consequence positive reinforcement, negative reinforcement or punishment
nature is an hereditary factor while nurture is an environmental factor which constitute an individual personality. so if an individual's parent has a deviant behavior and was also brought up in an deviant environment, observation of the behavior and the inborn trait we make the individual deviant.
Samuel
I am taking this course because I am hoping that I could somehow learn more about my chosen field of interest and due to the fact that being a PsyD really ignites my passion as an individual the more I hope to learn about developing and literally explore the complexity of my critical thinking skills
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Source:
OpenStax, Collaborative statistics (custom lecture version modified by t. short). OpenStax CNX. Jul 15, 2013 Download for free at http://cnx.org/content/col11543/1.1
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