A researcher wants to study the opinions of nurses in a hospital. They randomly select 5 departments and then survey every nurse in those departments. What sampling method is being used?
Simple Random Sampling
Cluster Sampling
Stratified Sampling
Systematic Sampling
What is the probability of getting heads and then tails when flipping a fair coin twice?
1
1/4
3/4
1/2
What does a p-value represent in hypothesis testing?
The probability of observing the data if the null hypothesis were true.
The probability of making a Type I error.
The probability of the null hypothesis being true.
The probability of the alternative hypothesis being true.
In a deck of 52 cards, what is the probability of drawing a heart, given that you know the card is red?
1/13
1/52
A researcher surveys 100 people and asks them how many pets they own. What type of graph would be most appropriate for displaying the frequency of each response (number of pets)?
Pie chart
Histogram
Scatter plot
Line graph
A researcher wants to study the spending habits of shoppers at a mall. They randomly select every 10th shopper entering the mall to participate in a survey. What type of sampling method is this?
Which of the following is NOT a core component of statistical analysis?
Data Collection
Probability Assessment
Algorithm Development
Data Interpretation
Which of the following is an example of a variable measured at the interval level?
Letter Grade (A, B, C, D, F)
Gender
Height in centimeters
Temperature in Fahrenheit
What is the primary difference between a discrete probability distribution and a continuous probability distribution?
Discrete distributions are represented by graphs, while continuous distributions are represented by tables.
Discrete distributions are used for quantitative data, while continuous distributions are used for qualitative data.
There is no difference; both types of distributions represent the same statistical concepts.
Discrete distributions deal with countable data, while continuous distributions deal with data that can take on any value within a range.
Why is understanding the difference between descriptive and inferential statistics important?
It is mainly relevant for complex statistical research, not everyday data analysis.
It is not important; both types of statistics are used interchangeably.
It is only important for professional statisticians, not for beginners.
It helps in choosing the appropriate statistical methods for analysis.