## HLT 362V Summary and Descriptive Statistics

Answer for HLT 362V Summary and Descriptive Statistics in \$16 Only

HLT 362V Summary and Descriptive Statistics

There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understanding differences between the groups based upon the collected data often informs health care professionals towards research, treatment options, or patient education.

Using the data on the “National Cancer Institute Data” Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as needed, for assistance in with creating Excel formulas.

Provide the following descriptive statistics:

## PUB550 Topic 1 DQ 2

PUB550 Topic 1 DQ 2 for \$9 Only

Differentiate between a population and a sample, and a parameter and a statistic. In your explanation, apply the concepts of descriptive and inferential statistics. Provide specific examples to illustrate each. Discuss why the ability to differentiate these terms is critically important when interpreting research findings related to public health.

Price of Answer: Just \$9 only

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## PUB550 Week 2 Practicing Application of Descriptive Statistics

PUB550 Week 2 Practicing Application of Descriptive Statistics in Excel and SPSS for \$14 Only

The purpose of this assignment is to compare basic functions in Excel and SPSS to calculate descriptive statistics and use this information to describe the sample.

For this assignment, students will utilize Excel with the Data Analysis ToolPak and SPSS Statistics and the “Example Dataset” to complete the assignment. Refer to the Topic Materials for assistance with enabling the Data Analysis ToolPak on a Mac or PC.

Part 1:

Complete the following steps in both Excel and IBM SPSS Statistics.

## RES 341 Entire Week 5

RES 341 Entire Week 5

RES 341 Week 5 Learning Team Assignment Final Research Project Presentation

• Prepare 8-10 Microsoft® PowerPoint® slides with speaker notes, illustrating your Research Project. Your presentation should include any final edits to the Week 4 Learning Team paper and the following items:
• Purpose of the research
• Research question
• Research hypothesis, developed from the research question
• Review of literature
• Sampling design
• Data collection
• Data analysis using descriptive statistics
• Conclusions
• Confidence intervals
• Final recommendations based on your findings

RES 341 Week 5 Individual Assignment Using Probability Distribution in Research Simulation

## RES 341 Entire Week 4

RES 341 Entire Week 4

RES 341 Week 4 Individual Assignment Exercises From the E-Text

• Resource: Applied Statistics in Business and Economics
• Prepare answers to the following exercises from Applied Statistics in Business and Economics:
• Chapter 5: Exercises 5.62 and 5.70
• Chapter Exercises 8.46 and 8.62

Note. Methods of computation could include the usage of Microsoft® Excel®, SPSS, Lotus, SAS®, Minitab®, or by hand computation.

RES 341 Week 4 Learning Team Assignment Descriptive Statistics Paper

• Write and submit a 1,050-1,750-word paper, adding to your Week Three paper, examining the data you have collected and drawing conclusions based on your findings.
• Include the following:
• Data analysis using descriptive statistics
• Calculate the measures of central tendency, dispersion, and skew for your data.
• Display your descriptive statistical data using graphic and tabular techniques.
• Frequency distribution
• Histogram
• Based on your skew value and histogram, discuss the best measures of central tendency and dispersion of your data. Justify your selection.
• Conclusions
• Discuss whether your research findings answered your problem statement—the research question—or if more research might be necessary.

What roles do confidence intervals and estimation play in the selection of sample size? Also, what are the factors that the required sample size is based on?

What is the significance of a 5% significance level? Why would you choose 5% as opposed to 10%? What are the statistically accepted guidelines for significance levels?

Explain the differences in the sampling distributions for xbar (sample mean) for large and small samples under the following assumptions:

1. The variable of interest ‘x’ is normally distributed.

2. Nothing is known about the distribution of the variable ‘x’.

When you draw a sample from a normal distribution, what can you conclude about the sample distribution? Why do so many of life’s events share the same characteristics with Central Limit Theorem?