MCSE Quiz 1

Which of the following is the primary goal of descriptive statistics?

• To test a hypothesis about a population parameter.

• To make predictions about future outcomes based on sample data.

• To organize, summarize, and present the main features of a dataset.

• To determine the causal relationship between two variables.

What type of data is the number of active users on a website?

• Continuous

• Categorical

• Discrete

• Ordinal

Which variable type best describes 'operating system type'?

• Quantitative

• Qualitative

• Continuous

• Interval

Which of the following is an example of qualitative data?

• Height

• Age

• Gender

• Weight

Which sampling method ensures representation from all strata of a population?

• Simple random sampling

• Cluster sampling

• Stratified sampling

• Systematic sampling

Which of the following is NOT a source of sampling error?

• Random variation

• Non-response bias

• Sampling frame errors

• Increasing sample size

Which of the following are types of statistics? (Select all that apply)

• Descriptive

• Inferential

• Analytical

• Computational

An engineer calculates the average tensile strength of 50 steel rods from a production batch. This single calculated average value is an example of:

• Inferential statistics

• A population parameter

• A descriptive statistic

• Hypothesis testing

A market analyst uses poll data from a sample of 1,200 voters to predict the outcome of a national election. This is an application of:

• Descriptive statistics

• Inferential statistics

• Data visualization

• Population enumeration

A quality control engineer at a semiconductor manufacturing plant collects data on the defect rate of 1,000 microchips. Which of the following actions fall under the domain of descriptive statistics? (Select all that apply)

• Calculating the mean and standard deviation of the defect rate for the 1,000-chip sample.

• Constructing a histogram to visualize the distribution of defects in the sample.

• Using the sample defect rate to create a 95% confidence interval for the defect rate of the entire production run.

• Concluding that a change in the manufacturing process has caused a statistically significant reduction in defects based on the sample.