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Find the indicated probability.

In one town, 45% of all voters are Democrats. If two voters are randomly selected for a survey, find the probability that they are both Democrats. Round to the nearest thousandth if necessary.

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CHI SQUARE work to do

CHI SQUARE work to do

Part 2:
1. An
industrial/organizational (I/O) psychologist is helping a company determine the
type of work stations preferred by its employees. The business owner believes
that people who work in different departments may prefer different work station
layouts. In order to examine this claim, the I/O psychologist sets up 3
simulated work stations: private office (PO), semi-private office (SPO), and
open floor plan (OFP). She recruits employees from 3 different departments:
Information Technology, Human Resources, and Marketing. The participants spend
30 minutes in each simulated work station performing general pre-arranged
tasks. At the end of the 1.5 hours, the participants turn in a form on which
they mark which work station they prefer. The results are listed in the table
on the following page. Perform a chi
square test of independence (using an SPSS two-way contingency table analysis)
to determine whether the proportions of work station preferences differ across departments.
Use the weighted cases method.
The steps will be the same as the
ones you have been practicing in Part 1 of the assignment—the only difference
is that you are now responsible for creating the data file as well. Remember to
name and define your variables under the “Variable View,” then return to the
“Data View” to enter the data. (2 pts)
Private Office
Semi-Private Office
Open Floor Plan
TOTAL
Information Technology
9
6
4
19
Human Resources
6
10
3
19
Marketing
7
3
9
19
TOTAL
22
19
16
57
2. Create
a clustered bar graph depicting your
results. (2 pts)
3. Write
an APA-style Results section describing the outcome. All homework “Results
sections” must follow the example given in the Course Content document “Writing
Results of Statistical Tests in Current APA Format” (Note: you do not have to
refer to a figure). (2 pts)
Part 3: Cumulative
Homework
1. A
researcher wants to find out if the number of absences from a chemistry class
are predictive of final exam scores at a local university. The data from the
past term are in the table below. Are number of absences predictive of final exam
scores? Choose the correct test to analyze this question, set up the SPSS file,
and run the analysis. Follow the directions on the following page.
Number of Absences
Final Exam Scores
1
1
2
3
4
5
5
5
6
6
6
7
7
98
95
89
89
80
85
80
75
76
69
70
62
60
a)
Paste appropriate SPSS output. (2 pts)
b)
Paste appropriate SPSS graph. (2 pts)
c)
Write an APA-style Results section describing the
outcome. All homework “Results sections” must follow the example given in the
Course Content document “Writing Results of Statistical Tests in Current APA
Format” (Note: you do not have to refer to a figure). (2 pts)

Need help with this one

Need help with this one

Part 1:
1. Green & Salkind:
Lesson 42, Exercises 1, 3–4
The following helpful tips are numbered to correspond with
the exercise number to which they refer (a dash indicates that no tips are
needed):
1.
This research scenario will be familiar to you. Do
letters a, b, and c, answering the questions beneath your SPSS output. (3 pts
for output and 2 pts each for a–c)
3.
All homework “Results sections” must follow the example
given in the Course Content document “Writing Results of Statistical Tests in Current
APA Format” (Note: you do not have to refer to a figure). (4 pts)
4.
Create a boxplot
as done in earlier modules/weeks. (3 pts)
2. Spearman
Rho Exercise: This exercise is not found in Green and Salkind. Open the data
file “Mod8_SpearmanRho_Exercise File” in the Module 8 SPSS Assignments folder
in Blackboard, read the following information, and answer the questions below.
Scenario: During the Vietnam War, a “draft” was put
in place that selected young men born on certain dates and placed them in the
armed services. The process proceeded via lottery: Dates like “Sept. 14” were
placed in capsules, one for each of the 365 days of the year, and the capsules
were then drawn randomly from a container. In the 1970 draft, Sept. 14 was the
first date drawn, meaning that all young men born on Sept. 14 were eligible for
the very first round of the draft, and so on. After the results of the 1970 draft
were analyzed, many statisticians and politicians asserted that the process had
not been random at all, and certain men had a higher chance of being drafted
than others. This case is famous, making it to the pages of international
newspapers and the U.S. Supreme Court.
In the SPSS data file in Blackboard, you will find the
original 1970 draft data with two variables. Column 1 contains the consecutive
day of the year (1 = Jan. 1; 2 = Jan. 2; and so on). Column 2 contains the
draft rank (1 = first date drawn; 2
= second date drawn; and so on). So, in
the first row of the data set, Day 1 (Jan. 1) had a draft rank of 305. The
lower the draft rank, the sooner and more likely a man was to be drafted. So a
higher rank (like 305, for example) was preferable to those who did not want to
be drafted right away.
If the process had been statistically random, there would be
no correlation between the day of the year you were born and the rank that was
assigned to you (r = 0). Any type of significant correlation would mean that
there was something relating the variables beyond mere random error, or chance.
1.
Open the data file and perform a Spearman correlation
analysis for the day of year and the draft rank. Paste your output in the
homework document. (2 pts)
2.
Write an APA-style Results section describing the
outcome. (2 pts)
3.
Answer the next two questions in “layman’s terms” as if
for someone who doesn’t know much about statistics: (a) Why did people accuse
the process of not being random? (b) What do the data indicate for men born
earlier in the year vs. men born later in the year? (2 pts)
It’s not required, but if you want to check out the original
New York Times article and see an interesting graph, go to this link: http://frewm.wikispaces.com/file/view/nytimes.pdf
(Data file source: http://www.amstat.org/publications/jse/v5n2/datasets.starr.html#rosenbaum1)
Part 2:
1. A
university assessment department collects data to determine whether class
ranking differs between male and female students. Based on the top 12 males and
top 12 females of the senior class, is there a difference between genders on where
they are ranked in their class? Perform a Mann-Whitney U test, being sure to
follow the directions on the following page. (3 pts)
Male
Female
2
5
7
10
11
13
15
16
18
21
23
24
1
3
4
6
8
9
12
14
17
19
20
22
Note: Your file must
be set up in the same manner as the example data file and the exercise file
from Part 1, with a grouping variable and a dependent/test variable. Because
these are class rankings, they are ordinal data and must be identified as such
in “Variable View” under the column “Measure.” Click in the cell under
“Measure” in the row for your class rank variable, and choose “Ordinal.” This
ensures that SPSS treats the data at the proper level of measurement.
2. Create a
boxplot depicting the results. (3 pts)
3. Write an APA-style Results section
describing the outcome. All homework “Results sections” must follow the example
given in the Course Content document “Writing Results of Statistical Tests in Current
APA Format” (Note: you do not have to refer to a figure). (3 pts)
Part 3: Cumulative
Homework
1. An
organizational psychologist wants to find out if job satisfaction ratings
differ as a function of department (human resources, sales, and research and
development) and/or time of shift (early, late). Choose the correct test to
analyze this question, set up the SPSS file, and run the analysis. Follow the
directions under the table below.
Early shift
Human Resources
Sales
Research and Development
10
16
12
16
9
19
21
16
18
17
21
18
14
Late shift
14
13
8
12
12
17
12
14
9
10
12
15
19
14
a)
Paste appropriate SPSS output. (3 pts)
b)
Paste appropriate SPSS graph. (3 pts)
c)
Write an APA-style Results section describing the
outcome. All homework “Results sections” must follow the example given in the
Course Content document “Writing Results of Statistical Tests in Current APA
Format” (Note: you do not have to refer to a figure). (3 pts)
Submit this assignment by 11:59 p.m. (ET) on Friday of Module/Week 8.

If a random student passed biology, what is the probability they passed math?

If a random student passed biology, what is the probability they passed math?

A group of students is taking two courses in the summer: biology and math. Based on past experience we know that 75% of students taking the biology course will pass the class (i.e., the probability a student will pass the biology course is .75), we also know that 70% of students taking the math course will pass the class. The probability of passing both courses, biology and math, is .55 (or 55%). Let B = pass biology and M = pass math.

a statistic project paper

a statistic project paper

For this assignment, you will undertake an analysis based on a self-designed fictitious study that utilizes statistical methodologies. You will first develop a fictitious problem to examine - it can be anything. For example, maybe you want to look at whether scores on a standardized college placement test (like the SAT) are related to the level of income a person makes 10 years after college; Or, whether those who participate in a Leadership Training program rated as better managers compared to those who do not; Or, whether ones political affiliation is related to gender. These are just a few examples; be creative and think about what piques your interest. You might also address a problem that you may want to look at in future research for a dissertation. You will use either EXCEL or SPSS to conduct the analysis. Your analysis report should include the following components:Describe your research study.State a hypothesis.List and explain the variables you would collect in this study. There must be a minimum of three variables and two must meet the assumptions for a correlational analysis.Create a fictitious data set that you will analyze. The data should have a minimum of 30 cases, but not more than 50 cases.Conduct a descriptive data analysis that includes the following:a measure of central tendencya measure of dispersionat least one graphBriefly interpret the descriptive data analysis.Conduct the appropriate statistical test that will answer your hypothesis. It must be a statistical test covered in this course such as regression analysis, single t-test, independent t-test, cross-tabulations, Chi-square, or One-Way ANOVA. Explain your justification for using the test based on the type of data and the level of measurement that the data lends to for the statistical analysis.Report and interpret your findings. Use APA style and include a statement about whether you reject or fail to reject the null hypothesis.Copy and paste your Excel or SPSS data output and place it in an appendix.Remember, the goal of this project is to show what you have learned in the course. Therefore, this project becomes a cumulative learning project where you can demonstrate what you have learned through all the previous assignments, readings and video presentations that you have watched.Length: 12-15 pages not including title and reference pagesReferences: Minimum of 5 scholarly resources.Your paper should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Your paper should reflect scholarly writing and current APA standards.

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