data analysis 87

Survey Information Links

https://www.surveymonkey.com/results/SM-RBM2J2FX7/

https://www.surveymonkey.com/results/SM-J5BKC2FX7/

Research Focus:

how creating health programs for children and parents in middle school lead to decreasing the consumption of tobacco in teenagers

Purpose of research:

Tobacco smoking in the country is the primary source of preventable death. Many smokers (82 percent) began to smoke before 18, and about 3,000 young people continue to smoke every day. School initiatives to discourage the usage of cigarettes may become one of the most successful nicotine approaches implemented. This survey seeks to identify whether creating health programs for children and parents in middle school lead to decreasing the consumption of tobacco in teenagers. The survey will determine whether the reduced use of tobacco among teenagers (dependent variable) is directly challenged by the health programs put in place in middle schools (independent variable). This survey will target teenage students as well as parents in middle school and consequently summarize their feedback regarding the issue.

Assignment

By this week, you should have completed data collection on at least 30 participants who met the qualifications to complete the survey (e.g., at least 18 years or older, have other specific characteristics that make them a member of the population you intended to study).

The data for your short survey should be entered into the Excel database that you created last week. With this data set, complete the following:

  1. Calculate descriptive statistics for your main independent and other variables you have collected information on (example: demographic variables).
    1. Create a bar chart for the participants’ gender and ethnicity.
    2. Create a histogram for participants’ age.
  2. Calculate descriptive statistics for your dependent variable.
  3. Create a summary table of your descriptive statistics.
    1. Hint: For categorical variables, you should be calculating frequencies and percentages; for continuous variables, you should be calculating means and standard deviations.
  4. Use one hypothesis-testing statistic that examines the relationship between your independent variable and dependent variable.
    1. Hint: This test should be one of the following—independent samples t-test, paired t-test, one-way ANOVA, or Pearson’s chi-squared test.
    2. Write the null and alternate hypotheses.
    3. What is the calculated statistic value?
    4. What is the p and critical statistic value?
    5. Is the p value significant? Is calculated statistic value greater than critical value?
    6. What is your conclusion?