Which of the following correctly describes the null and alternative hypotheses?
The null hypothesis is what we aim to prove, and the alternative hypothesis is the opposite.
The null and alternative hypotheses are interchangeable.
The null hypothesis represents the status quo or no effect, while the alternative hypothesis proposes a specific effect.
The null hypothesis assumes a relationship, while the alternative hypothesis denies it.
If a distribution is skewed to the right, what is the relationship between the mean and the median?
Mean is equal to the median.
The relationship cannot be determined.
Mean is greater than the median.
Mean is less than the median.
The 25th percentile is also known as the:
Second Quartile
Third Quartile
First Quartile
Interquartile Range
Which type of chart is particularly useful for comparing the distribution of a variable across different categories?
Box Plot
Pie Chart
Scatter Plot
Histogram
Which of the following is an example of a discrete variable?
Number of siblings someone has
Temperature of a room
Weight of a package
Height of a student
Which of the following is NOT affected by outliers?
Median
Standard Deviation
Mean
Range
A researcher wants to study the sleeping habits of college students. They survey 100 students from their university. What is the population in this scenario?
Students who sleep less than 6 hours a night
All college students at the researcher's university
All college students in the world
The 100 students surveyed
If the p-value is less than the significance level, what decision do we make regarding the null hypothesis?
Fail to reject the null hypothesis.
Accept the null hypothesis.
Reject the null hypothesis.
Conclude that the null hypothesis is true.
What is the alternative hypothesis in a statistical test?
The statement we are trying to disprove.
The statement that is always true.
The statement of no change or no relationship.
The statement we accept if the null hypothesis is rejected.
A frequency distribution shows the:
Probability of a particular outcome in an experiment
Average value of a variable in a dataset
Spread or variability of data points around the mean
Number of times each value of a variable occurs in a dataset