Example Project:

SPSS Semester Project
PSYC105 – Statistics
Spring 2012
Assignment Guidelines


On Cicada, there is an SPSS dataset called: SPSS project data.sav. This is the dataset that you will analyze to answer all of the questions posed in this assignment. These are (mostly) real data from the North Carolina State Center for Health and Environmental Statistics in 2001. Below is a description of the variables in this dataset:

statistics_assignment_table

For each of the following questions, you will need to analyze data using SPSS and comment on the data analyses. Hand in your written answer to all the questions, along with the appropriate SPSS output. Be sure to show all your work and label your SPSS output with the corresponding question number. Note: You can consult with your classmates on this project (i.e., discuss answers), but each of you MUST hand in your own individual work. The completed assignment must be your work entirely. You CANNOT hand in two copies of a single write-up with different names on it. Projects that are copied or completed together will not be accepted.

Important! Formatting Instructions: The write-up needs to be typed. The order of questions in your write-up needs to be in the order in which the questions were asked. Type up your answers in the SPSS output or create a Word document and paste the output into your write-up. If you can't find a way to type the statistical notations, you may leave a blank space in your write-up and handwrite the notation (please try to be as neat as possible). At the beginning of each SPSS output, indicate the question number it belongs to and then state your hypotheses (questions 2-8). After the SPSS results, which may include graphs and plots, state your conclusions with the appropriate statistics.

(1) Identify (and list) which of the variables are nominal, ordinal, interval, and ratio (note: it is possible that not all of these categories are represented in the data set). For child’s sex and mother’s race, construct bar graphs that summarize the data. Also include a frequency table that gives the counts and percentages of observations in each category. Create a histogram for the variables “mage”, “tounces”, and “lost”. For these same variables, create a table that gives the mean, median, standard deviation, minimum and maximum value for each variable.

Formatting instructions: Comments should be written immediately following each graph.

In addition to the above instructions, for each of the following questions, you should also (a) state the null and alternative hypotheses (both in words and in statistical notation), (b) analyze the data with the appropriate statistical test, and (c) state your conclusions both with words and in statistical notation for whether you can reject the null hypothesis.

(2) Suppose we know that the average birth weight for the entire U.S. population of newborns is 123 ounces. In comparison to the U.S. population overall, are babies in this North Carolina sample significantly heavier or lighter than the U.S. average? What if we were interested in the population of all babies born in North America, and knew that this value was 116 ounces. Are babies in this North Carolina sample significantly heavier or lighter than the North American average?

(3) Is there a statistically significant difference in the birth weight of children born to married vs. unmarried mothers? Do babies born to Hispanic mothers differ significantly in weight from those born to non-hispanic mothers? If so, what is the difference?

(4) Is there a significant association between the completed weeks of gestation and child birth weight? Is there a significant association between the age of the mother and the amount of weight she loses after pregnancy? Is there a significant association between the age of the mother and number of weeks gestation? If so, explain the association(s).

(5) Are mothers who smoked during pregnancy significantly more or less likely than mothers who didn’t smoke to have premature babies? Are mothers who were married during pregnancy significantly more or less likely than mothers who weren’t to have low birth weight babies?

(6) Is there a statistically significant difference between White, Black, Asian, and members of other races in the completed weeks of gestation? Is the difference in birthweight between premature and non-premature babies statistically significant? If so, explain the difference(s).

(7) On average, was the amount of weight that mothers gained during pregnancy significantly greater than the amount of weight that they lost? Explain your response. What is the association between weight gained during pregnancy and weight lost after pregnancy? Is this association significant?

(8) When examining child birthweight, is there a significant interaction between premie status and mother drinking? If so, explain this interaction.


Example Assessment:

Due to its length, please click the following link to download an exam (Microsoft Word format): Download Stats Exam 2 CJF