A frequency distribution shows the:
Probability of a particular outcome in an experiment
Spread or variability of data points around the mean
Average value of a variable in a dataset
Number of times each value of a variable occurs in a dataset
What is the highest level of measurement for the variable 'weight of apples'?
Ratio
Ordinal
Nominal
Interval
Which of the following is NOT a core component of statistical analysis?
Data Interpretation
Data Collection
Probability Assessment
Algorithm Development
What does a variance of zero indicate about a dataset?
The mean is zero.
All data points are the same.
The data is perfectly normally distributed.
The dataset has a large amount of variation.
Every 10th person entering a store is surveyed about their shopping experience. What type of sampling method is being used?
Simple Random Sampling
Stratified Sampling
Systematic Sampling
Cluster Sampling
Which data type is represented by the ranking of athletes in a competition (1st, 2nd, 3rd, etc.)?
In a probability distribution, what does a higher peak indicate?
Greater variability in the data
Lower probability of values around the peak
Higher probability of values around the peak
Smaller sample size
If a distribution is skewed to the right, what is the relationship between the mean and the median?
Mean is greater than the median.
Mean is equal to the median.
Mean is less than the median.
The relationship cannot be determined.
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 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.
The null and alternative hypotheses are interchangeable.
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.
Discrete distributions deal with countable data, while continuous distributions deal with data that can take on any value within a range.
There is no difference; both types of distributions represent the same statistical concepts.