Statistical Analysis

Question 1

What is Statistical Analysis

Answer 1

Is the application of statistical methods to a sample of data in order to develop an understanding of what that data represents.

Question 2

Two types of Statistics

Answer 2

• Descriptive Statistics.
• Inferential Statistics.

Question 3

(Type of Statistic) Descriptive Statistics

Answer 3

The objective is to make it easier to understand and visualize raw data allowing interpretation without making conclusions regarding any hypothesis that were or can be made.

Question 4

Common measures of Descriptive statistical Analysis

Answer 4

• Central Tendency.
• Dispersion.
• Skewness.

Question 5

(type of Descriptive statistical analysis) Central Tendency

Answer 5

Locate the center of a data sample. Common measures include: Mean, Median, and Mode

Question 6

Mean

Answer 6

would be the sum of all total of scores divided by the size of the data set, the 25 students.

Question 7

Median

Answer 7

Is the measure that finds the middle value in a set of data, where one half of the data can be smaller or equal to the median and the other half can larger or equal. Median are not affected by outliers.

Question 8

Mode

Answer 8

is the value that occurs more frequently in a set of observation. If the most common score of the 25 students is 72%, then that is your Mode.

Question 9

(type of Descriptive statistical analysis) Dispersion

Answer 9

Is the measure of variability in a dataset. Common measures of statistical dispersion are:
- Variance.
- Standard Deviation.
- Range.

Question 10

Variance

Answer 10

defines how far away the data points fall from the center. When a distribution has lower variability, the values in the data set are more consistent. However, when the variability is higher, the data pints are more dissimilar and extreme values become more likely.

Question 11

Standard Deviation

Answer 11

tells you how tightly your data is clustered around the Mean.

Question 12

Range

Answer 12

gives you the distance between the smallest and largest values in your dataset.

Question 13

(type of Descriptive statistical analysis) Skewness

Answer 13

is the measure of whether the distribution of values is symmetrical around a central values or skewed left or right. Skewed data can affect which types of analyses are valid to perform

Question 14

(Type of Statistic) Inferential Statistics

Answer 14

takes data from a sample to male inferences about the large population from which the sample was drawn. Using methods of inferential statistics helps draw generalizations that apply the results of the sample to the population as a whole

Question 15

Common methodologies of Inferential Statistics include:

Answer 15

• Hypothesis Testing.
• Confidence Intervals.
• Regression Analysis.

Question 16

Hypothesis Testing

Answer 16

involves the procedure of deciding whether the results of a research study supports a particular theory which applies to a population.

Question 17

Confidence Intervals

Answer 17

refers to the probability that a population parameter will fall between a set of values for a certain proportion of times.

Question 18

Regression Analysis

Answer 18

incorporates hypothesis tests that help determine whether the relationships observed in the sample data actually exist in the population rather than just the sample.