Category: English and Literature : English

  • It is often said that statistically different does not always mean statistically

    It is often said that statistically different does not always mean statistically

    It is often said that statistically different does not always mean statistically important. What does this mean in terms of biological studies and experiments?

  • If a car averages 10.4 liters per 100 km of city driving, and the car averages 1

    If a car averages 10.4 liters per 100 km of city driving, and the car averages 1

    If a car averages 10.4 liters per 100 km of city driving, and the car averages 1800 km of city driving per month, how much fuel does it use in an average month of city driving?

  • Instructions The Week 1 dataset (Excel) contains data from the 2017 CDC Behavior

    Instructions
    The Week 1 dataset (Excel) contains data from the 2017 CDC Behavior

    Instructions
    The Week 1 dataset (Excel) contains data from the 2017 CDC Behavioral Risk Factor Surveillance Survey (BRFSS). There is a row for each state. The dataset has the below variables in columns.
    The group-level, or aggregate, unit of analysis is the state. The outcome, or dependent, variable is Fair or Poor Health. The remainder of the variables are the predictor, or independent, variables.
    Your analysis task is to determine whether any of the predictor variables are associated with the prevalence of people in each state who report having fair or poor health. You will use tasks under the ‘Statistics’ and ‘Graphs’ sections in SAS Studio.
    Your communication tasks are to create a table, at least one figure, and a professional abstract to communicate your results.
    State: Name of state. This is the unit of analysis.
    Fair or Poor Health: Crude prevalence of respondents in each state who reported having ‘Fair or Poor Health’. This is the dependent variable. 
    Depression: Crude prevalence of respondents in the state who responded yes to ‘Ever been told you have depression’.
    Physical Activity: Crude prevalence of respondents in the state who ‘Participated in 150 minutes or more of Aerobic Physical Activity per week’.
    Unable to Work: Crude prevalence of respondents in the state who said they were ‘Unable to Work.
    No Health Care: Crude prevalence of respondents in the state who said they had ‘No health care coverage’.
    Days Clear: Number of clear (sunny, cloud free) days per year in the state.
    Expanded Medicaid: Whether the state had expanded its Medicaid program. 1=Yes; 2=No.
    Complete the following.
    Conduct an exploratory (descriptive) analysis of the data and create a professional table in word or excel to show the descriptive analysis results. See resources for making tables. Be sure to include the table number and title.
    For the continuous variable, use the Summary Statistics task to calculate:
    Mean and Range (maximum – minimum)
    Standard deviation
    Measures of normality
    For the categorical variable, use the One-Way Frequencies task to calculate:
    Count of observations in each category
    Percent of observations in each category
    Conduct correlation and t-test analyses to determine whether ‘Reported Fair or Poor Health’ is associated with any predictor variables using appropriate statistical tests in SAS. You will conduct Pearson’s correlation using the Correlation Analysis task and 2-sample t-test using the t-test task. See videos for instructions for completing these tests in SAS Studio. If needed, videos in the learning materials can help you choose the best statistical test.
    Use the tasks in the ‘Graph’ section in SAS Studio to create at least one graph or figure to illustrate one of these relationships. Figures to consider include, but are not limited to, scatterplots, box plots, or histograms. You must use the ‘Appearance’ section in each task to add axis labels, legend, and title for all figures. See videos for instructions for using these tasks.
    Draft a structured abstract, maximum 400 words, with the below sections. See resources for information about writing abstracts.
    Background: The research question and hypothesis
    Summary: briefly describe your methods
    Results: summarize the important findings of the descriptive and analytic analyses with measures.
    Discussion: Interpretation, limitations, and public health application of the results.
    See the Course Resources for information about creating tables, formatting figures, and writing abstracts.
    You will submit:
    A word document with your abstract, figure, and table.
    Your SAS output.

  • Writing Activity 1: The Role Food Plays In 300 words or more. please respond to

    Writing Activity 1: The Role Food Plays
    In 300 words or more. please respond to

    Writing Activity 1: The Role Food Plays
    In 300 words or more. please respond to this week’s readings on the overview page, using the questions below as a guide; feel free to discuss any other elements of the readings as well.
    What roles does food play in this week’s readings and videos?
    Were there any elements of the readings and videos that you could personally relate to? How so?
    What other relationships do you have with food?
    How have those relationships developed throughout your life?
    What other factors in your life shaped your relationships with food?
    While you may summarize, in part, what you learned in the readings, your responses should also show that you’re thinking about what the authors are saying and how the concepts in the readings may show up in your own life. Feel free to include your own opinions on the material.
    Format: Single-spaced paragraphs with an additional space between paragraphs.
    Cite Your Sources
    Please be sure to use your own words and remember to cite the information you share from sources. Any time you use information from an outside source, it must be cited, even if what you present is in your own words.
    Use the following format when citing sources in your writing:
    Include an attributive tag to introduce the research AND a parenthetical reference at the end of the research to close out the researched information. An attributive tag (also known as a lead in) is used when you present research as this gives the research credibility. 
    For example: In the article, “Know What You Eat” Joanna Givens, a nutritionist, explains that… (31).
    This shows the reader where the research came from, and that the person being referenced is credible because we know her credentials (she is a nutritionist). There must also be an end citation (“31” in this example) to close out the research. It’s not enough to just have an attributive tag.

    https://www.newyorker.com/magazine/2009/11/23/rice-jhumpa-lahiri
    https://www.poetryfoundation.org/poems/56064/america-