Descriptive statistics, statistics homework help

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Description

Refer to the Week 1 Dataset (SPSS Document), located in the Learning Resources. Use SPSS to open the dataset and complete the following:

  1. Produce numeric descriptions for the following variables: Age, Sex, BMI, SCI, Stroke, and Hypertension.

    Be sure to use the appropriate descriptive statistics for the level of measurement of the variable (Hint: Use mean and standard deviation for continuous variables and frequency for categorical or nominal ones)
  2. Produce graphical descriptions for the variables listed in part 1. Be sure to use graphical presentations appropriate for the level of measurement of the variable. (Hint: Use Box Plots and Histograms for continuous variables and Bar charts for categorical and nominal ones)
  3. Interpret the results from parts 1 and 2. Produce a narrative that includes information on each of the variables. Again be sure that the narrative is appropriate based on the level of measurement for each variable.

References

Daniel, WW & Cross, CL. (2013). Biostatistics: A Foundation for Analysis in the Health Sciences. Hoboken, NJ: Wiley.

  • Chapter 1, “Introduction to Biostatistics” ( pp. 1 –18)
  • Chapter 2, “Descriptive Statistics” ( pp. 19 –64)
  • Chapter 3, “Basic Probability Concepts” ( pp. 65 –91)

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Explanation & Answer

Hi, I am done with your assignment, and attached is my complete solution

QUESTION 1:
The numeric descriptions for the following variables: Age, Sex, BMI, SCL, Stroke, and
Hypertension are produced as follow.
After completing steps 1 through 8, the SPSS Output is: The Statistics table provides the data for
the scale (continuous) variables Age, BMI, and SCL.

After completing steps 9 and 10, the SPSS Output is: Frequency tables for sex, stroke, and
hypertension are produced in the Output window.

QUESTION 2:
The graphical descriptions for the variables listed in part 1 are produced as follow.
After completing steps 1 through 4, the SPSS Output is: The boxplot for age should resemble the
boxplot below.

After completing steps 5 and 6, the SPSS Output is: The box plot for BMI should resemble the
below:

After completing step 7, the SPSS Output is: The box plot for SCL should resemble the below:

After completing steps 8 and 9, the SPSS Output is: The histogram for age in the Output window
should resemble the below.

After completing step 10, the SPSS Output is: the histogram for BMI should resemble the below:

After completing step 11, the SPSS Output is: The histogram for scl should resemble the below:

After completing steps 12 through 14, the SPSS Output is: The bar chart for Sex in Output should
resemble the below:

After completing step 15, the SPSS Output is: The bar chart for stroke should resemble the
below:

After completing step 16, the SPSS Output is: The bar chart for stroke should resemble the
below:

QUESTION 3:
According to the results in part 1 and 2, the frequencies for variables Sex, Stroke, and
Hypertension are 77 men and 103 women, 115 men and 65 women, and 125 men and 55
women, in a total of 180 people for each, except 179 people and 1 missing for Serum
Cholesterol, respective. The percentage of distribution for variables Sex, Stroke, and
Hypertension are 42.8% for men and 57.2% for women, 63.9% for men and 36.1% for women,
and 69.4% for men and 30.6% for women, respectively. Similarly, the measure of central
tendencies used for variables Age, BMI, SCL are mean, and they are 45.51, 21.1544, and 228.30,
respectively. Moreover, the measure of variations observed in the table for variables Age, BMI,
SCL are 8.389, 3.731, and 49.033, respectively. It follows that the mean and standard deviation
are much higher for Serum Cholesterol (SCL ) than in other variables. According to the
histograms in part 2, it follows that the data for baseline BMI and Serum Cholesterol (SCL ) are
likely normally distributed, and the data for baseline age is slightly skewed to the right.
Moreover, there are outl...


Anonymous
This is great! Exactly what I wanted.

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