A dentаl hygienist emplоyed by а children's hоspitаl dental clinic is respоnsible for coordinating programs to serve medically compromised children in the service area. The population consists of a mix of diverse SES and ethnic groups. The dental hygienist's responsibilities include managing the clinic that provides dental and dental hygiene treatment for the children, training hospital staff in the daily oral care of hospitalized children, serving as a resource to the hospital staff, conducting oral hygiene educational programs for clinic patients and their parents, and supervising the distribution of self-care fluoride products. The effectiveness of the educational programs is evaluated by comparing pre-test and post-test scores of knowledge and oral health behavior of the clinic patients. Answer questions #28-32 Which of the following are the three characteristics that compose epidemiologic factors of disease? Select the three answers that apply
A mаjоr retаil chаin has cоllected data frоm their marketing campaigns and customer behavior across 500 stores in 2023. The dataset includes: Customer Age (continuous, in years) Purchase Amount (continuous, in dollars) Visit Frequency (continuous, visits per month) Customer Satisfaction Score (continuous, 1-10 scale) Gender (categorical: Male/Female) Loyalty Program Status (categorical: Member/Non-member) Preferred Shopping Time (categorical: Morning/Afternoon/Evening) Marketing Campaign Type (categorical: Email/Social Media/Print/TV) Store Location Type (categorical: Urban/Suburban/Rural) Campaign Response (categorical: Yes/No) For each of the following scenarios, identify the most appropriate statistical test and briefly explain why it is the best choice for the given situation: Choose from these statistical tests - ONLY CHOOSE FROM THIS LIST: One-way chi-square Two-way chi square One-way ANOVA Two-way ANOVA One-sample (dependent) t-test Two-sample (independent) t-test Correlation PCA Regression Tree The marketing team has a hypothesis about shopping time preferences. They believe the distribution should be 30% Morning, 45% Afternoon, and 25% Evening shoppers. They want to test if the actual data matches these expected proportions. The marketing director believes there might be a connection between customers' age and how much they spend. They want to analyze this relationship. The loyalty program manager wants to determine if being a loyalty program member impacts customer satisfaction scores. The team wants to understand if the effectiveness of different marketing campaign types (Email/Social Media/Print/TV) varies depending on the store location type (Urban/Suburban/Rural), as measured by campaign response rates. The regional manager wants to know if average purchase amounts differ significantly between urban, suburban, and rural store locations. The company recently implemented a new loyalty program and collected satisfaction scores from the same group of customers before and after the change. They want to analyze if there's a significant change in satisfaction.