# Category: Statistics homework help(Page 1 of 6)

Question 1 Explain the following concepts:
(a) Parameter (1 marks)
(b) Stratified random sampling (3 marks)
(c) Descriptive statistics (3 marks)
(d) Inferential statistics (3 marks)
Question 2
The following table displays data on height of students (measured in centimeters) in a Business Statistics class. The sample size consists of 30 randomly selected students for a particular class.
Refer to table in question 2 in file
(a) Draw a histogram to depict the data above (5 marks)
(b) Compute the mean (10 marks)
(c) Calculate the variance and standard deviation (10 marks)
(d) Calculate the coefficient of variation (5 marks)
(e) Interpret the distribution of heights as shown in your histogram (5 marks)
Question 3
Part 1: Two fair dice are rolled
(a) Calculate the probability that two sixes will appear? (2 marks)
(b) Calculate the probability of at least one six appearing? (5 marks)
Part 2
(a) A bank conducted a survey to estimate the proportion of its customers who would be interested in using a new app for mobile banking services. The bank found that 68 out of 150 customers are in favour of using the new app. Construct a
(i) 95% confidence interval (10 marks)
(ii) 90% confidence interval (10 marks)
For the proportion of customers who are in favour of the new banking app
(b) A certain security system contains 12 parts. Suppose that the probability that each individual part will fail is 0.3 and that the parts fail independently of each other. Given that at least two of the parts have failed, compute the probability that at least three of the parts have failed? (8 marks)
Question 4
(a) The mean lifetime of 200 mobile phones in a sample is 1,000 hours and their standard deviation is 130 hours. µ is the mean lifetime of all the mobile phones produced. Test the hypothesis that the sample comes from a population whose mean is 1,200 hours at 1% significance level? (10 marks)
(b) Consider a random sample of 20 observations. The sample variance is 30.5. Construct a 95% confidence interval for σ 2 (10 marks)

Reflect on the following questions in a minimum of 800 words.
Reflection #1:
How you would use descriptive statistics in your current or a former place of employment to visualize information specific to your industry? What type of research might you use to make decisions related to your organization? Assess how you would use statistics to make decisions and plan for the future in your current or a former place of employment.
Reflection #2:
What specific assignments or learning activities from this course did you find particularly beneficial? What do you feel can be improved or added that would have improved your learning experience in this course? ​​​​​​​
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Below is the information to answer above two questions
Info for Refl#1: working in Insurance Industry.
Info for Refl#2: Below is the course content
Module 1: Utilizing statistical and data analytic frameworks, you will be able to evaluate and analyze the role big data plays in business decision-making. You will also demonstrate the ability to analyze and graphically describe key business data in Excel, allowing business leaders to achieve competitive advantage.
Assignment: conduct a thorough statistical analysis of a company’s available database to help management identify feasible, actionable opportunities for improvement. You will conduct descriptive statistics analyses using Excel and write a statistical report to explain your findings and recommendations.
Module 2: Utilizing statistical probability models, you will be able to evaluate and analyze business data under uncertainty conditions. You will also be able to create and test hypotheses and draw conclusions based on samples of data.
Assignment: Perform a test hypothesis to determine if a new protocol served its purpose.
Module 3: Utilizing statistical regression and time series analysis models, you will be able to evaluate and analyze how multiple variables impact an organization. You will also be able to create forecasts and interpret data to analyze performance as it impacts strategic planning and comparative advantage for an organization.
Assignment: Apply statistical time series modeling techniques to identify patterns and develop time-dependent demand models.

Instructions
1.Download the assignment template that is attached this week’s resources and review the steps for this assignment.
2.Once you have reviewed the steps, complete the problems and questions as presented.
3.Show your work using your statistical program output. You may show manual/hand calculations only if the SPSS program cannot be accessed.
4.There are two deliverables you must submit this week:
(1st deliverable) SPSS output file or manual calculations: Submit the SPSS output file in PDF form, or you can scan your work and submit it as a low-resolution graphic.
(2nd Deliverable) Word document: Submit a Word file answering the questions asked in the assignment. Describe the results in APA style incorporating relevant tables and figures formatted in APA style.
Length: SPSS output or manual calculations and 1 to 2-page Word document
The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented.

Instructions
1.Download the assignment template and data file that is attached below. (The assignment template has questions that need to be answered.)
2. Review the steps for this assignment.
3.Once you have reviewed the steps, complete the problems and questions as presented.
4.Show your work using your statistical program output. You may show manual/hand calculations only if the SPSS program cannot be accessed.
5.There are two deliverables you must submit this week:
SPSS output file or manual calculations: Submit the SPSS output file in PDF form, or you can scan your work and submit it as a low-resolution graphic.
Word document: Submit a Word file answering the questions asked in the assignment. Describe the results in APA style incorporating relevant tables and figures formatted in APA style.
Length: SPSS output or manual calculations and 1 to 2-page Word document

Instructions
Download the assignment template and data file from this week’s resources and review the steps for this assignment. Once you have reviewed the steps, complete the problems and questions as presented. Show your work using your statistical program output. You may show manual/hand calculations only if the SPSS program cannot be accessed. There are two deliverables you must submit this week:
SPSS output file or manual calculations: Submit the SPSS output file in PDF form, or you can scan your work and submit it as a low-resolution graphic.
Word document: Submit a Word file answering the questions asked in the assignment. Describe the results in APA style incorporating relevant tables and figures formatted in APA style.
Length: SPSS output or manual calculations and 1 to 2-page Word document
The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course. The writing should integrate scholarly resources, reflect academic expectations and current APA standards, and adhere to Northcentral University’s Academic Integrity Policy.

Week 8 Assignment
Jason is interested in studying the effect of gender and social media usage on loneliness in college students. He obtained data from 30 men (10 men who had high social media usage and 10 men who had moderate social media usage and 10 who did not use social media much) and 30 women volunteers (10 women scored high on social media usage, 10 women moderately used the social media, and 10 scored low on social media usage) in their freshman year. Jason administered the Revised UCLA 20 item loneliness scale to measure subjective feelings of loneliness and social isolation to these 60 participants. A high score on the scale indicates higher feelings of loneliness. Participants rate each item on a scale from 1 (Never) to 4 (Often). There are two independent variables in the study (social media usage and gender) and one dependent variable, which is loneliness. The design for the study can be described as 3*2 ANOVA, number of levels of social media usage (low, moderate, high social media use) and number of levels of gender (males vs females).
2. Conduct descriptive analyses (mean, Standard deviation) and report them here. What would you interpret based on the Mean values?
3. Conduct a Two-Way ANOVA. Report your statistical findings (including any applicable tables or figures in APA format).
a. Are there any significant main effects?
b. Is the interaction effect significant?
4. What would you conclude from this analysis? Is your hypothesis supported?
5. What would be your next steps, if this were your research project? What follow up tests will you conduct? What would the follow up tests indicate?
6. Create a boxplot to show the interaction effect between gender and social media usage on loneliness.
Submit the SPSS output file in a PDF to show the work you have done. Also submit a separate Word file describing the results in APA. Incorporate relevant table(s) and figure/graph(s) in the Word document formatted in APA style.

Instructions
2.Review the steps for this assignment.
3. Once you have reviewed the steps, complete the problems and questions that are attached.
4.Show your work using your statistical program output. You may show manual/hand calculations only if the SPSS program cannot be accessed.
5.There are two deliverables you must submit this week:
SPSS output file or manual calculations: Submit the SPSS output file in PDF form, or you can scan your work and submit it as a low-resolution graphic.
Word document: Submit a Word file answering the questions asked in the assignment. Describe the results in APA style incorporating relevant tables and figures formatted in APA style.
Length: SPSS output or manual calculations and 1 to 2-page Word document1.

Given the numerous data sources listed in Chapter 5 of the textbook, select two data sources that could be linked to create an enriched data set for a specific public health research purpose. What are public health concerns that the linked data could be used to investigate? Explain your choices.
Chapter 5 in the book
Name of book:  Epidemiology for Public Health Practice

When responding to your classmates, offer additional examples of appropriate uses for incidence and prevalence and explain how the two measures are related.
Please respond to 2 classmates discussion
Both classmates discussion is below
Please speak in first person to each person.

Regression analysis can estimate the magnitude of the impact of a change in one variable or another (Holmes et al., 2017). If regression analysis were to be completed on BMI, an independent variable associated with that would be height and weight. The size and weight are how the BMI is calculated. Usually, as we get older, the amount of body fat increases. This could be because we typically become less active as we age. Additionally, females usually have a higher percentage of body fat than males. Other independent variables included in the analysis would be sex, age, diet, body type, and disease processes. A statistic that will show the value of BMI regression would be physical activity. Typically, the more physical activity a person gets, the lower their BMI.
The article that I found interesting that uses regression analysis to study a medical concern discussed the relationship between changes in dietary cholesterol intake and alterations in lipoprotein-cholesterol markers for cardiovascular disease risk and provided a reference for clinicians on how changes in dietary cholesterol intake affect circulating cholesterol concentrations, after accounting for intakes of fatty acids (Vincent et al. 2019). The independent variables discussed in the article were trans fatty acid intake, saturated fatty acid intake, and cholesterol intake. The dependent variable is LDL-cholesterol concentration. I would use this study to highlight the difference between correlations and causation by accepting the conclusion that dietary cholesterol change was positively associated with the change in LDL-cholesterol concentration (Vincent et el. 2019).
References
Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory business statistics. OpenStax.
Vincent, M. J., Allen, B., Palacios, O. M., Haber, L. T., & Maki, K. C. (2019). Metaregression analysis of the             effects of dietary cholesterol intake on LDL and HDL cholesterol. The American journal of clinical                 nutrition, 109(1), 7–16

Discussion Prompt: Multiple studies conducted in the United States, Canada, Germany, and the United Kingdom show that the probability of dying in the hospital is higher if you are admitted on the weekend. Why might this be? What factors might contribute to this probability?  What could hospitals do to reduce/eliminate this phenomenon?