Excel Functions
Ch. 4-5
Ch. 1-3
Distribution Types
Chap. 7-9
100

How do we find Expected Value in Excel?

Multiply the Distribution occurrence by the probability for that occurrence! 

100

What function gives the probability of occurrence?

P = X/T, where X is the number if ways the event occurs & T is the total number of possible outcomes!

100

What type of variable (Discrete or Continuous) am I?


Number of Facebook likes on a post

Discrete! 

100

What type of distribution is Bell-shaped & Symmetrical?

Normal Distribution 

100

What is a Hypothesis? 

A hypothesis is a claim (assertion) about a
population parameter:
– population mean:
– population proportion:

200

What is a faster way to find Expected Value?

(Hint*: its a formula, not a manual multiplication)

SUMPRODUCT

200

True or False, the following statement is a simple event:

"The first ball being red"

True! A simple event is described by a single characteristic!

200

What type of distribution shows us how many times an event is likely to happen in a specified period of time?

Poisson Distribution

200

What is the 68-95-99.7 rule?

The range of standard deviations from the mean that most normally distributed data falls into. 68% is with one SD of the mean, 95% is within two and 99.7% falls within three SD's of the mean

200

What is Regression analysis used for?

-Predict the value of a dependent variable based on
the value of at least one independent variable.
– Explain the impact of changes in an independent
variable on the dependent variable

300

Standard Deviation of the Distribution is the square of what?

(Hint*: We can find it with multiplication or SUMPRODUCT function)

The Square Root of the Variance! Which can be found either through multiplication of occurrences by probabilities or through the SUMPRODUCT function 

300

What do we call each possible outcome of a variable?

We refer to these as "events"

300

What type of variable (Discrete or Continuous) am I?

Volts of Electricity 

Continuous! 

300

If all possible outcomes have an equal chance of happening, what type of distribution am I?

I am Uniform Distribution! 

300

What is the difference between Type I and Type II errors?

Type I is a false positive

Type II is a false negative 

400

What Excel function returns the probability of a specific number of successes or the probability of at most a specific number of successes in a given number of trials? 

BINOMN.DIST 

400

Is the statement below an example of a priori probability, empirical probability, or subjective probability:


There will be at least one magnitude 4 earthquake next year.


Empirical! The statement depends on observed data

400

What type of distribution is best for finding the probability of pinpointing one of multiple different outcomes under a set of given circumstances? 

Binomial Distribution

400

What two Excel functions can we use to calculate probabilities related to binomial distributions? 

BINOM.DIST & BINOM.INV

400

What is a p-value?

Probability of obtaining a test statistic equal to or
more extreme than the observed sample value given.

The p-value is also called the observed level of
significance.

500

What Excel function returns the smallest value of successes for a given cumulative probability of a binomial distribution?

BINOM.INV

500

Is the statement below an example of a priori probability, empirical probability, or subjective probability:

The spinning compass will rest pointing North

Because the statement is based on prior knowledge of an involved process, this is a priori statement!

500

A fair coin is tossed 5 times. The probability of exactly 3 heads is?

5/16! The quotient of number of favorable outcomes (5) over possible outcomes (16), in reduced factor form!

500

What is another name for the Z-Table?

Standard Normal Table!

500

What is the Random Error Term in a linear regression model?

In a linear regression model, the "random error term" (also called the error term or residual) represents the difference between the actual observed value of the dependent variable and the value predicted by the regression line, capturing any variation in the data not explained by the independent variables included in the model

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