Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
100

What is the biggest challenge of statistical analysis?

To be able to recognize which types of analysis are most appropriate for a given situation

100

Can an object exist outside of its characteristics?

No, the are not independent 

100

what shape is ideal for distribution?

Bell Shaped 

100

Which central tendency value is the most ideal foe mathematical analysis?

The mean

100

Why do we subtract 1 from n in the sample variance and deviation formulas? 

So we do not underestimate the population 

200

What are the three objectives of data manipulation and organization?

Data reduction, service as an inferential measuring tool, the identification of associations or relationships among data

200

Which scales are qualitative?

Nominal and Ordinal

200

What are the four shapes we see in a distribution?

Uniform, U-shaped, J- shaped, Bell shaped

200

When is it the best time to use the median?

It is most appropriate to use the median when there is a skewed tendency.

200

What is the 68-95-99 Rule?

The percentage to SD ratio. ie 1 SD = 68

300

What is the difference between descriptive analysis and and inferential anaylsis?

descriptive is a direct exhaustive measurement of the population while inferential only measures the characteristics of a sample

300

Which scales are quantitative?

Interval and Ratio

300

What is the trade-off of data reduction?

We sacrafice some data to gain a larger picture 

300

A distribution is skewed right, what can we infer about the mode, median, and mean?

The value of mode is < median and is < mean

300

What does the Z score accomplish?

The z-score shifts the mean to 0, taking into consideration the observed score and standard deviation
400

What is the difference between univariate and multivariate analysis?

uni- focuses on one characteristic and muli- focuses on many variables simultaneous investigation 

400

What is the difference between discrete and continuous variable?

Discrete is a finite number while continuous is infinite

400

What is the benefit of using a graphical presentation?

Can make aspects of a distribution apparent that were not easily apparent in previous forms 
400
What are the two types of proportions?

Quantity and Frequency 

400

What is a confounding variable?

A confounding variable is a casual relationship between two variables; X and Z and their relationship impacts Y 

500

What is statistical analysis concerned with?

"The collection, organization, and interpretation of data according to a well defined procedure"

500

What type of scheme is used for a numerical representation?

Scales!

500

True or False, the total area under a distribution curve is 100%

True 

500

What happens when you multiply, divide, add, or subtract a constant to the central tendency 

that increase or decrease by that constant 

500

What is selection bias?

bias introduced by the way in which individuals are selected for a study/treatment 






M
e
n
u