707 WK 8-The Term Descriptive Statistics .

Posted: November 5th, 2022

707 WK 8-The Term Descriptive Statistics .

This week’s content again focused on topics related to statistical analysis. Based on the information you reviewed over the past two weeks answer the following discussion prompts related to the case study:

1. What does the term Descriptive Statistics mean?

2. Identify which demographic and outcome data points in the case study a mean, range, and standard deviation will be calculated for. Provide a rationale for why this type of statistical analysis is appropriate for these data points. (Hint: this information is useful for your data analysis plan in NUR 704 or your related MSN courses).707 WK 8-The Term Descriptive Statistics .

ORDER NOW.                                            

3. Identify which demographic and outcome data points in the case study frequencies and percentages will be calculated for. Provide a rationale for why this type of statistical analysis is appropriate for these data points. (Hint: this information is useful for your data analysis plan in NUR 704 or related MSN courses).

4. Discuss one method the task force could use to analyze the collected outcome data (e.g. a group mean comparison of pre and post protocol values, a percent change, a t-test, etc). Include a rationale of why you chose this method. Also discuss any potential limitations of using this approach for data analysis. (Hint: you will be using this in your NUR 704 data evaluation plan or your related MSN courses).707 WK 8-The Term Descriptive Statistics .

707 WK 8

1. What does the term Descriptive Statistics mean?

Descriptive statistics refers to the brief expressive measurements that summarize the quantitative attrabutes of the dataset. They are presented as measures of variability and measures of central tendency. The measures of variability offer the data spread in terms of skewness, kurtosis, maximum and minimum values, variance, and standard deviation. The measures of central tendency include mode, median and mean (Johnson & Kuby, 2012). For instance, descriptive statistics of a study with 25 participants of which 14 are males while 11 are females reveals that their mean age is 42.64 years with the minimum age being 19 years and maximum age being 82 years.707 WK 8-The Term Descriptive Statistics .

2. Identify which demographic and outcome data points in the case study a mean, range, and standard deviation will be calculated for. Provide a rationale for why this type of statistical analysis is appropriate for these data points.

Mean, range and standard deviation will be calculated for ratio level variables that have a meaningful zero point, such as age. Ratio level variables are continuous measurements to which mathematical operations of addition, subtraction, multiplication and division can be accurately applied. In fact, all arithmetic operations can be conducted on measurements for ratio level variables (Johnson & Kuby, 2012).707 WK 8-The Term Descriptive Statistics .

3. Identify which demographic and outcome data points in the case study frequencies and percentages will be calculated for. Provide a rationale for why this type of statistical analysis is appropriate for these data points.

Frequencies and percentages will be calculated for the interval scale level of data measurement, such as the self-efficacy questions that use Likert scales. That is because arithmetic assumptions can be made about the degree of differences between the recorded values. In addition, the values do not have a meaningful zero-point. The differences between data points on the scale are all equal (Johnson & Kuby, 2012).

4. Discuss one method the task force could use to analyze the collected outcome data (e.g. a group mean comparison of pre and post protocol values, a percent change, a t-test, etc). Include a rationale of why you chose this method. Also discuss any potential limitations of using this approach for data analysis.

A sample t-test would be appropriate to compare pre-test and post-test scores to demonstrate the effectiveness of the intervention. A sample t-test would determine the significance of the differences between the pre-test and post-test groups, and whether these differences were the result of chance or the intervention (Anderson et al., 2014).

707 WK 8-The Term Descriptive Statistics .