707 WK 8-The Term Descriptive Statistics .
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 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 . 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 . 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). 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 .