WGU D081 APPLIED HEALTHCARE STATISTICS EXAM COMPLETE
QUESTIONS AND 100% ACCURATE ANSWERS (PASS GUARANTEE)
RECENTLY UPDATED
1. Q: What is the mean of the following dataset: 5, 10, 15, 20, 25?
ANSWER 15 (Sum = 75, divide by 5)
2. Q: What measure of central tendency is most affected by outliers?
ANSWER The mean
3. Q: What is the median of: 3, 7, 9, 12, 15? ANSWER 9 (middle value)
4. Q: What is the mode of: 2, 4, 4, 6, 8, 4, 10? ANSWER 4 (appears most
frequently)
5. Q: Define range in statistics. ANSWER The difference between the
maximum and minimum values in a dataset
6. Q: What is the range of: 10, 15, 20, 25, 30? ANSWER 20 (30 - 10)
7. Q: What does standard deviation measure? ANSWER The average
distance of data points from the mean; measures spread or variability
8. Q: What is variance? ANSWER The square of the standard deviation;
measures how far data points are from the mean
9. Q: When should you use the median instead of the mean? ANSWER
When the data contains outliers or is skewed
10.Q: What is a bimodal distribution? ANSWER A distribution with two
modes or peaks
11.Q: What does the coefficient of variation measure? ANSWER
Relative variability; standard deviation expressed as a percentage of the
mean
12.Q: What is an outlier? ANSWER A data point that is significantly
different from other observations
13.Q: What are quartiles? ANSWER Values that divide a dataset into four
equal parts (Q1, Q2, Q3)
,14.Q: What is the interquartile range (IQR)? ANSWER The difference
between Q3 and Q1; measures the spread of the middle 50% of data
15.Q: How do you identify outliers using IQR? ANSWER Values below
Q1 - 1.5(IQR) or above Q3 + 1.5(IQR) are potential outliers
16.Q: What is a percentile? ANSWER A value below which a certain
percentage of observations fall
17.Q: What does the 75th percentile mean? ANSWER 75% of the data
falls below this value
18.Q: What is a frequency distribution? ANSWER A table showing how
often each value occurs in a dataset
19.Q: What is a histogram? ANSWER A graphical representation of the
distribution of numerical data using bars
20.Q: What is positive skewness? ANSWER When the distribution has a
long tail on the right side; mean > median
21.Q: What is negative skewness? ANSWER When the distribution has a
long tail on the left side; mean < median
22.Q: What is a normal distribution? ANSWER A symmetrical, bell-
shaped distribution where mean = median = mode
23.Q: What percentage of data falls within 1 standard deviation of the
mean in a normal distribution? ANSWER Approximately 68%
24.Q: What is the 68-95-99.7 rule? ANSWER In a normal distribution,
68% of data is within 1 SD, 95% within 2 SD, and 99.7% within 3 SD
25.Q: What is kurtosis? ANSWER A measure of the "tailedness" or
extremity of values in a distribution
26.Q: What is a box plot? ANSWER A visual representation showing the
median, quartiles, and potential outliers
27.Q: What does a scatter plot show? ANSWER The relationship between
two continuous variables
28.Q: What is the purpose of a bar chart? ANSWER To compare
categorical data across different groups
29.Q: What is the difference between a bar chart and a histogram?
ANSWER Bar charts show categorical data with gaps between bars;
histograms show continuous data with no gaps
, 30.Q: What is a pie chart used for? ANSWER To show proportions or
percentages of a whole
31.Q: What are the five-number summary statistics? ANSWER
Minimum, Q1, Median (Q2), Q3, Maximum
32.Q: What is the purpose of descriptive statistics? ANSWER To
summarize and describe the main features of a dataset
33.Q: What is nominal data? ANSWER Categorical data with no inherent
order (e.g., blood type, gender)
34.Q: What is ordinal data? ANSWER Categorical data with a natural
order (e.g., education level, pain scale)
35.Q: What is interval data? ANSWER Numerical data with equal
intervals but no true zero (e.g., temperature in Celsius)
36.Q: What is ratio data? ANSWER Numerical data with equal intervals
and a true zero (e.g., weight, height, age)
37.Q: What is discrete data? ANSWER Data that can only take specific
values (e.g., number of patients)
38.Q: What is continuous data? ANSWER Data that can take any value
within a range (e.g., blood pressure, temperature)
39.Q: What is the population in statistics? ANSWER The entire group
being studied
40.Q: What is a sample in statistics? ANSWER A subset of the population
used for analysis
Section 2: Inferential Statistics (Questions 41-80)
41.Q: What is inferential statistics? ANSWER Using sample data to make
conclusions about a population
42.Q: What is a hypothesis? ANSWER A testable statement or prediction
about a population parameter
43.Q: What is the null hypothesis (H0)? ANSWER A statement of no
effect or no difference; assumes status quo
44.Q: What is the alternative hypothesis (H1 or Ha)? ANSWER A
statement that contradicts the null hypothesis; what researchers want to
prove
QUESTIONS AND 100% ACCURATE ANSWERS (PASS GUARANTEE)
RECENTLY UPDATED
1. Q: What is the mean of the following dataset: 5, 10, 15, 20, 25?
ANSWER 15 (Sum = 75, divide by 5)
2. Q: What measure of central tendency is most affected by outliers?
ANSWER The mean
3. Q: What is the median of: 3, 7, 9, 12, 15? ANSWER 9 (middle value)
4. Q: What is the mode of: 2, 4, 4, 6, 8, 4, 10? ANSWER 4 (appears most
frequently)
5. Q: Define range in statistics. ANSWER The difference between the
maximum and minimum values in a dataset
6. Q: What is the range of: 10, 15, 20, 25, 30? ANSWER 20 (30 - 10)
7. Q: What does standard deviation measure? ANSWER The average
distance of data points from the mean; measures spread or variability
8. Q: What is variance? ANSWER The square of the standard deviation;
measures how far data points are from the mean
9. Q: When should you use the median instead of the mean? ANSWER
When the data contains outliers or is skewed
10.Q: What is a bimodal distribution? ANSWER A distribution with two
modes or peaks
11.Q: What does the coefficient of variation measure? ANSWER
Relative variability; standard deviation expressed as a percentage of the
mean
12.Q: What is an outlier? ANSWER A data point that is significantly
different from other observations
13.Q: What are quartiles? ANSWER Values that divide a dataset into four
equal parts (Q1, Q2, Q3)
,14.Q: What is the interquartile range (IQR)? ANSWER The difference
between Q3 and Q1; measures the spread of the middle 50% of data
15.Q: How do you identify outliers using IQR? ANSWER Values below
Q1 - 1.5(IQR) or above Q3 + 1.5(IQR) are potential outliers
16.Q: What is a percentile? ANSWER A value below which a certain
percentage of observations fall
17.Q: What does the 75th percentile mean? ANSWER 75% of the data
falls below this value
18.Q: What is a frequency distribution? ANSWER A table showing how
often each value occurs in a dataset
19.Q: What is a histogram? ANSWER A graphical representation of the
distribution of numerical data using bars
20.Q: What is positive skewness? ANSWER When the distribution has a
long tail on the right side; mean > median
21.Q: What is negative skewness? ANSWER When the distribution has a
long tail on the left side; mean < median
22.Q: What is a normal distribution? ANSWER A symmetrical, bell-
shaped distribution where mean = median = mode
23.Q: What percentage of data falls within 1 standard deviation of the
mean in a normal distribution? ANSWER Approximately 68%
24.Q: What is the 68-95-99.7 rule? ANSWER In a normal distribution,
68% of data is within 1 SD, 95% within 2 SD, and 99.7% within 3 SD
25.Q: What is kurtosis? ANSWER A measure of the "tailedness" or
extremity of values in a distribution
26.Q: What is a box plot? ANSWER A visual representation showing the
median, quartiles, and potential outliers
27.Q: What does a scatter plot show? ANSWER The relationship between
two continuous variables
28.Q: What is the purpose of a bar chart? ANSWER To compare
categorical data across different groups
29.Q: What is the difference between a bar chart and a histogram?
ANSWER Bar charts show categorical data with gaps between bars;
histograms show continuous data with no gaps
, 30.Q: What is a pie chart used for? ANSWER To show proportions or
percentages of a whole
31.Q: What are the five-number summary statistics? ANSWER
Minimum, Q1, Median (Q2), Q3, Maximum
32.Q: What is the purpose of descriptive statistics? ANSWER To
summarize and describe the main features of a dataset
33.Q: What is nominal data? ANSWER Categorical data with no inherent
order (e.g., blood type, gender)
34.Q: What is ordinal data? ANSWER Categorical data with a natural
order (e.g., education level, pain scale)
35.Q: What is interval data? ANSWER Numerical data with equal
intervals but no true zero (e.g., temperature in Celsius)
36.Q: What is ratio data? ANSWER Numerical data with equal intervals
and a true zero (e.g., weight, height, age)
37.Q: What is discrete data? ANSWER Data that can only take specific
values (e.g., number of patients)
38.Q: What is continuous data? ANSWER Data that can take any value
within a range (e.g., blood pressure, temperature)
39.Q: What is the population in statistics? ANSWER The entire group
being studied
40.Q: What is a sample in statistics? ANSWER A subset of the population
used for analysis
Section 2: Inferential Statistics (Questions 41-80)
41.Q: What is inferential statistics? ANSWER Using sample data to make
conclusions about a population
42.Q: What is a hypothesis? ANSWER A testable statement or prediction
about a population parameter
43.Q: What is the null hypothesis (H0)? ANSWER A statement of no
effect or no difference; assumes status quo
44.Q: What is the alternative hypothesis (H1 or Ha)? ANSWER A
statement that contradicts the null hypothesis; what researchers want to
prove
