## HLT 362V Summary and Descriptive Statistics

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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:

## Answers for Applied Statistics: Suppose that the Thickness of a Car Tyre

Answers for Applied Statistics: Suppose that the Thickness of a Car Tyre for \$3 Only (Instant Download)

Suppose that the thickness of a car tyre is critical and measurement of the thickness of a random sample of 18 tyre have the variance of 0.68 cm it is assumed that the production is under control of the variation of the thickness is given by a variance not greater than 0.36 cm assuming that the population is normally distributed test the null hypothesis which says population variance is equal to 0.36 cm against the alternative hypothesis which says population is greater than 0.36 at the 5% level of significance.

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## PUB550 Topic 2 DQ 1

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P-values and confidence intervals are both used in hypothesis testing. Explain three reasons why it may be preferable to report a confidence interval over a P-value. Provide a specific example to justify your reasons.

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## PUB-550 Week 4 Application of the t-Test

PUB-550 Week 4 Application of the t-Test for \$8 Only

The purpose of this assignment is to learn how to apply the t-test to a sample dataset.

For this assignment, students will use IBM SPSS Statistics and the “Example Dataset.”

Using the “Example Dataset” and SPSS, apply the t-test to assess the following statement: “Men and women have different incomes in this city.”

## Answers for Applied Statistics: Regulation a Kind of Steel Should Weight

According to the regulation a kind of steel should weight 185 kg if five pieces randomly selected from different productions have weights 171.6 , 191.8 , 178.3 , 184.9 and 189.1 kg test the null hypothesis which says the population mean is equal to 185 kg against the alternative hypothesis which says population mean is lower than 185 kg at the 5% level of significance.

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## PUB-550 Week 2 Calculating Confidence Intervals

PUB550 Week 2 Calculating Confidence Intervals for \$14 Only

The purpose of this assignment is to practice calculating confidence intervals.

For this assignment, students will utilize Excel and SPSS Statistics and the “Example Dataset.”

Using the “Example Dataset,” complete the following:

1. Based on a normal distribution curve, calculate the probability of an individual being 60 years or older in this population. Show the Excel and SPSS formulas or your hand calculations. Include screenshots as needed to illustrate this.
2. Using the sample standard deviation of age as an estimate of the population standard deviation, calculate by hand the standard error of the mean. Show your calculations and the answer.
3. Calculate by hand a 95% confidence interval for “Age” based on the sample mean. Use SPSS to verify your answer. Include your calculations and screenshots of the SPSS output.
4. Interpret the confidence interval for age and explain the three pieces of information needed to calculate a confidence interval.

Submit one Word document that includes all of the assignment deliverables.

APA style is not required, but solid academic writing is expected.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are not required to submit this assignment to LopesWrite.

Attachments

PUB-550-RS-Example Dataset.xlsx

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## Answers for Applied Statistics: Difference Between Men and Women’s Yearly Salaries

Assume that you are analyzing whether there is a difference between men and women’s yearly salaries. from a random sample of 55 women you find the mean salary to be 47520 TRY with a standard deviation of 5633 TRY from a sample of 64 men you find the mean salary to be 44304 TRY with standard deviation of 4793 TRY assume the random sample observations are from normally distributed populations and that the population variances are assumed to be equal develop a 95% confidence interval for the difference (women-men) between the population mean salary for men and women which gender does get a high salary.

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## PUB550 Topic 1 DQ 1

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Mixed methods research is becoming an important approach in generating public health evidence. Based on the resources supplied, discuss the benefits of a mixed methods approach. Include an explanation of the differences between qualitative and quantitative research and the purpose of each.

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## PUB550 Topic 2 DQ 2

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The central limit theorem is a key concept in inferential statistics. Access the Rice Virtual Lab in Statistics from the Topic Materials to observe the central limit theorem in action with different population distributions. Complete the “Sampling Distribution” simulation by clicking the “Begin” button. Refer to Chapter 5 “Worked Example 5.2” in the textbook when completing the simulation. Describe your observations and the results of increasing the individual sample size. Discuss the rationale behind the theorem, how the standard error is related to the theorem, and what the standard error indicates about sampling error.

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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.

## PUB550 Week 3 Hypothesis Testing

The purpose of this assignment is to evaluate the steps of hypothesis testing.

Hypothesis testing is a central component in understanding and interpreting public health research. Research questions are applied through a testable hypothesis established before the data is collected. It provides the rationale for the study and guides the researcher in what tests to use and how to interpret the results.

Identify a peer-reviewed article from one of the data sources available on the “Data Resource Document.” You will need to visit the various websites listed on the document to search for a research article that is of interest to you. Include the link to the selected article in a 750-1,000 word summary that address the following as it relates to the article.

1.     What test statistic did the researchers use? What did the authors set as the significance level of the test statistic?

2.     What was the null hypothesis? What was the alternative hypothesis? Were these clearly stated in the article, or did you have to extrapolate based on the background in the article?

3.     Discuss potential bias that may have resulted from the study design and data collection that could have affected the validity of the test.

4.     Summarize the story told by the data used in this study as it applies to the larger population

5.     Comment on whether the authors used the interpretation approach discussed in the textbook, including (a) summarize why the study was done, (b) discuss the factual results, (c) explain what the results mean, and (d) make suggestions for future research.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.

Test Statistics Used

……Shahoei, Zaheri, Nasab & Ranaei, (2017) researched on the effect of massaging the perineal muscles children delivery in Iran. Pregnant women often experience perineal trauma when the neonate’s head is exiting, thus calling for an episiotomy. Perineal injuries are followed by complications such as bleeding, hematoma, infection, vesicovaginal and rectovaginal fistulas urinary tract infections, and fecal incompetence. This research addresses the importance of perineal massage in preventing perineal laceration and episiotomy and pain severity in nulliparous women. The study, therefore, sought to determine the relationship between perineal massage and the severity of perineal pain, episiotomy, and perineal lacerations. The statistical hypothesis tests used in this study include the Chi-square, the t-test, and the Fisher test. The researcher set a significant value to be (p<0.05). The significant level determine the strengths of association……

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## PUB550 Week 6 Application of Multiple Regression

PUB550 Week 6 Application of Multiple Regression for \$11 Only (Instant Download)

The purpose of this assignment is to apply your understanding of simple and multiple linear regression.

For this assignment, use the “Example Dataset” to complete a simple linear regression using SPSS. Select one dependent variable, one primary independent variable, and one potential confounding variable. You will need to recode string variables into numeric variables to use them in the regression analysis. Prepare a Word document that includes all SPSS outputs.

Based on the results, create a second Word document and answer the following questions in 500-750 words.

1.     State your research question and hypotheses.

2.     Run the regression again without the potential confounding variable and discuss the impact on the coefficient of the primary independent variable. Did it change? If so, to what extent did it change? Based on this, do you think the added variable confounds the association between the independent and dependent variables?

3.     Export both regression output tables as part of the Word document containing the SPSS outputs.

4.     Provide your regression equation based on the results of the full regression model.

5.     Interpret the results by (a) stating the reason the study or test was done; (b) presenting the main results, including coefficients on the main independent variable and significance levels; (c) explaining what the results mean; and (d) making suggestions for future research.

Submit both Word documents to the instructor.

APA style is not required, but solid academic writing is expected.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.

AttachmentsPUB-550-RS-Example Dataset.xlsx

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## PUB550 Week 7 Application of the Pearson Correlation Coefficient and the Chi-Square Test

PUB550 Week 7 Application of the Pearson Correlation Coefficient and the Chi-Square Test for \$14 Only

The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-square test of independence.

For this assignment, complete Problems 13.132 and 15.88 in the textbook. Include your process for conducting the calculations. You can complete the calculations by hand or using Excel or SPSS. If you use Excel or SPSS, copy and paste your output results into a Word document.

When addressing each textbook problem, provide a response for each of the six steps of hypothesis testing listed below.

1.     Pick a test.

2.     Check the assumptions.

3.     List the hypotheses.

4.     Set the decision rule.

5.     Calculate the test statistic.

6.     Interpret the results. (What was done? What was found? What does it mean? What suggestions exist for future research?)

Submit a Word document with your problem answers to each of the six steps. If Excel or SPSS was used to complete the assignment, submit the second Word document containing the screenshots to the instructor.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are not required to submit this assignment to LopesWrite.

Price of Answer: Just US\$14 only

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## Serum Cholesterol Levels in Milligrams

Serum Cholesterol Levels in Milligrams for \$9 Only

The serum cholesterol levels in milligrams/deciliter (mg/dL) in a certain Mediterranean population are found to be normally distributed with a mean of 154 and a standard deviation of 28. Answer the following: (a) Determine the z-score for a person from this population that has a cholesterol level of 135. Then find the z-score for someone whose cholesterol level is 217. (b) If x represents a possible cholesterol level from this population, find P(x > 135). (c) Find P(135 < x < 217) and give an interpretation of this value. (d) The top 11% of all people in this group have cholesterol levels that make them “at-risk” for heart problems. Determine the raw-score cholesterol level which separates the at-risk people from the rest of the group.

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## MAT 210 Introduction to Business Statistics Exam

Proctored Final Examination

1. Assume you have a data set From a normally distributed random variable. Answer the following questions about it.

a. Will the random variable be discrete, continuous, or neither? How do you know?

b. Will the data be qualitative or quantitative? How do you Know?

2. Assume the following data were gathered by a manufacturer of a robotics component, in units of days of continuous use until the component fails. There are 60 measurements in this data set. Show a histogram of this data set with 10 bins of equal size, spanning the range from the data minimum to the data maximum.

142, 147, 127, 161, 145, 137, 122, 123, 141, 139, 139 135, 135, 130, 147, 118, 154, 133, 136, 129, 139, 131 143, 130, 160, 127, 127, 145, 144, 155, 128, 124,144 133, 136, 133, 151, 131, 133, 119, 122, 139, 128, 121 142, 136, 148, 136, 121, 131, 125, 120, 123, 145, 140 150, 136, 135, 133, 134

3. A university has been tracking the percentage of alumni giving to its annual fund each year for the past 10 years. The data is given here.

14% 13% 15% 21% 19% 24% 25% 28% 25% 31%

## Regression, Beta, Standard Dev, Correlation and other Calculation for S&P500

Image via Wikipedia

The assignment will be collected at the beginning of final exam. You should turn in the Excel
workbook for this assignment with your report.
1. Use http://finance.yahoo.com to obtain daily closing prices for your company. Use Excel to
calculate daily returns for the period January 1, 2010 – December 31, 2010. Calculate,
• Average daily return,
• Standard deviation of returns.
Repeat the analysis for the Dow Jones Industrial Average (DJIA). Ticker is ^DJI.
• Average daily return for your stock, yourstock R
• Standard deviation of daily returns, yourstock σ
• Average daily return for DJIA, DJIA R
• Standard deviation of daily returns on the DJIA, DJIA σ .

## Alpha, Beta and Fitted Line for Colgate-Palmolive (CL)

Case Study on page 447-448 within the Ross textbook

1. Go to finance.yahoo.com and download the ending monthly stock prices for Colgate-Palmolive for the last 60 months. Use the adjusted closing price, which adjusts for dividend payments and stock splits. Next, download the ending value of the S&P 500 index over the same period. For the historical risk-free rate, go to the St. Louis Federal Reserve Web site (www.stlouisfed.org) and find the three-month Treasury bill secondary market rate. Download this file. What are the monthly returns, average monthly returns, and standard deviations for

Colgate-Palmolive stock, the three-month Treasury bill. and the S&P 500 tbr this period?

2. Beta is often estimated by linear regression. A model often used is called the market model, which is:

## Simple Statistics Definitions

Simple Statistics Definitions

Answer and provide explanation of the definitions listed below:

1. F distribution
2. F statistic
3. chi-square distribution
4. t distribution
5. dependent samples
6. independent samples
7. degrees of freedom
8. t statistic
9. paired difference

No Plagiarism.