D388 Fundamentals of Spreadsheets and Data Presentations - Set 4 - Part 1

Correct Answer: To systematically select members from a population for analysis

Sampling techniques are methods used to select individuals from a population, ensuring that the sample is representative for accurate analysis.

Correct Answer: Data with meaningful zero and allows for comparisons of magnitude

The ratio scale has an absolute zero point, meaning ratios are meaningful (e.g., weight, height) and comparisons can be made.

Correct Answer: It is the average of all values, providing a measure of central tendency.

The mean is calculated by adding all values in a dataset and dividing by the number of values, reflecting the central tendency of the data.

Correct Answer: When summarizing and organizing data by frequency of occurrence

A frequency distribution table organizes data into categories and shows how many observations fall into each category, aiding in data analysis.

Correct Answer: The frequency of categories

Bar charts display the frequency of different categories using bars, allowing for easy comparison between the categories.

Correct Answer: The running total of frequencies up to each category

Cumulative frequency summarizes how many observations fall below or at each point, providing insight into the distribution of the data.

Correct Answer: =AVERAGE

The AVERAGE function computes the mean of a specified range, summarizing the central tendency of the values in that range.

Correct Answer: To make predictions about a population based on sample data

Inferential statistics allows researchers to draw conclusions and make inferences about a population from observations collected from a sample.

Correct Answer: Stratified sampling

Stratified sampling divides the population into strata (subgroups) and samples from each stratum, ensuring representation of all subgroups.

Correct Answer: The value that appears most frequently

The mode is the most common value in a dataset and is particularly useful in categorical data analysis.

Correct Answer: Removing duplicates and correcting errors in the dataset

Data cleaning is essential for ensuring the accuracy and quality of data before analysis, helping to eliminate errors and inconsistencies.

Correct Answer: It illustrates proportions of a whole.

Pie charts effectively visualize the parts of a whole, allowing viewers to see how individual categories contribute to the total.

Correct Answer: The dispersion or variability of data points from the mean

Standard deviation quantifies how much individual data points deviate from the mean, indicating the degree of spread in the dataset.

Correct Answer: They can assume an infinite number of values within a range.

Continuous variables can take any value within a specified range, such as measurements of height, weight, or temperature.

Correct Answer: It scales data to a common range without distorting differences.

Normalization adjusts data to a common scale, allowing for more accurate comparisons and analyses between datasets.

Correct Answer: Frequency distribution of numerical data

A histogram represents the frequency distribution of numerical data across defined intervals (bins), providing insight into data distribution.

Correct Answer: =MAX

The MAX function identifies the largest value from a specified range of numbers in Excel.

Correct Answer: Causal analysis

Causal analysis investigates the cause-and-effect relationship between variables, helping to understand how one variable influences another.

Correct Answer: A value that deviates significantly from other observations

Outliers are extreme values that can skew data analysis and should be investigated to understand their impact.

Correct Answer: Scatter plot

A scatter plot displays individual data points for two quantitative variables, allowing for analysis of relationships and correlations.