BU.883.710 Health Analytics LATEST MIDTERMS GUIDE Questions and Answers

Описание: BU.883.710 – Health Analytics Midterm Practice Guide
Key Topics Likely Covered

Data Types & Sources in Healthcare

EHRs, claims data, survey data, lab results

Descriptive Statistics

Mean, median, mode, variance, standard deviation

Data Visualization

Histograms, box plots, scatter plots

Inferential Statistics

Hypothesis testing, confidence intervals, p-values

Regression & Correlation

Linear regression, logistic regression, R², odds ratios

Data Cleaning & Preprocessing

Handling missing data, outliers, normalization

Healthcare Metrics & KPIs

Readmission rates, length of stay, patient satisfaction

Predictive Analytics & Machine Learning Basics

Classification, prediction, model evaluation metrics

📝 Sample Midterm-Style Questions
Question 1

Which type of data is categorical?

A. Patient age in years
B. Blood pressure reading
C. Gender (male/female)
D. Hospital length of stay in days

✅ Correct Answer: C — Gender
Explanation: Categorical data represents categories, not numeric quantities.

Question 2

A hospital wants to visualize the distribution of patient ages. Which graph is most appropriate?

A. Scatter plot
B. Histogram
C. Pie chart
D. Box plot

✅ Correct Answer: B — Histogram

Question 3

Which measure represents the spread of data around the mean?

A. Median
B. Mode
C. Standard deviation
D. Frequency

✅ Correct Answer: C — Standard deviation

Question 4

A p-value of 0.03 in a hypothesis test indicates:

A. There is a 3% chance the null hypothesis is true
B. The result is statistically significant at α = 0.05
C. The result is not statistically significant
D. The sample size is too small

✅ Correct Answer: B — Statistically significant at α = 0.05

Question 5

Which regression type is most appropriate to predict patient readmission (yes/no) based on age, BMI, and lab values?

A. Linear regression
B. Logistic regression
C. Poisson regression
D. Cox regression

✅ Correct Answer: B — Logistic regression

Question 6

In a dataset, some patients’ lab results are missing. Which is the best first step?

A. Delete all records with missing values
B. Replace missing values with zero
C. Analyze the pattern of missingness
D. Ignore missing values

✅ Correct Answer: C — Analyze the pattern of missingness

Question 7

Which metric measures how strongly two variables move together?

A. Correlation coefficient
B. Odds ratio
C. Standard deviation
D. Mean

✅ Correct Answer: A — Correlation coefficient

Question 8

A model predicts hospital readmission with 90% accuracy. What else should be considered?

A. Sensitivity and specificity
B. Mean and median
C. Histogram shape
D. Sample color

✅ Correct Answer: A — Sensitivity and specificity
Explanation: Accuracy alone may be misleading, especially with imbalanced datasets.

Question 9

Which of the following is an example of predictive analytics in healthcare?

A. Calculating average length of stay last year
B. Predicting which patients are likely to be readmitted
C. Counting the number of patients admitted in a month
D. Summarizing patient demographics

✅ Correct Answer: B — Predicting readmission

Question 10

Which technique is used to handle outliers in numeric data?

A. Encoding categorical variables
B. Winsorization or trimming
C. Creating bar charts
D. Normalizing categorical data

✅ Correct Answer: B — Winsorization or trimming

⚡ Midterm Tips

Focus on descriptive vs inferential statistics

Know which graph to use for different data types

Understand regression and correlation basics

Pay attention to data cleaning, missing values, and outliers

Practice calculating mean, median, mode, standard deviation, and interpreting p-values

Remember healthcare KPIs and how to analyze them

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