## Cryptography.

What is cryptography? How does an algorithm work?

APA style 250 words

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# Category: Algorithm

## Cryptography; What is it and how it works

## Cryptosystem In The Banking Industry

## Cryptosystem.

## Amount of Gasoline (Gallons)

## Amount of Gasoline.

## Goodness Of Fit Test; Statistics

## Goodness Of Fit Test.

###### Consider the average monthly sales of 2014, $1310, as your base to:

Develop a 1 to 2 paragraphs that summarizes the Cryptosystem topic of your research paper.

This is a brief description of your topic and state why you select this topic with reference to “Cryptosystems in Modern Industry“

Let X Represent The Amount of Gasoline, In Gallons, Drivers Put In Their Cars When Fueling At The Small Downtown Gas Station.

The Model For This Variable X Is Uniformly Distributed Between 4 And 12 Gallons.

For this uniform distribution the mean amount of gas put in a car is 8 gallons and the standard deviation is about 2.3 gallons.

Your friend is looking at this model for the amount of gas and says:

“I remember some rule from my statistics class last year ~ something about there being a 68% probability that the amount of gasoline a randomly selected driver will put in the car is within one standard deviation of the mean. So would that work in this case?”

Your short answer to your friend is ‘No, it will not work in this case.”

Formulate your more complete answer to your friend that includes both finding the actual probability that the amount that a randomly selected driver will put in the car is within one standard deviation of the mean and an explanation as to why this is not consistent with the 68% value.

Use the Week 5 Data Set to create and calculate the following in Excel®:

Conduct a goodness of fit analysis which assesses orders of a specific item by size and items you received by size.

Conduct a hypothesis test with the objective of determining if there is a difference between what you ordered and what you received at the .05 level of significance.

Identify the null and alternative hypotheses.

Generate a scatter plot, the correlation coefficient, and the linear equation that evaluates whether a relationship exists between the number of times a customer visited the store in the past 6 months and the total amount of money the customer spent.

Set up a hypothesis test to evaluate the strength of the relationship between the two variables. Use a level of significance of .05.

Use the regression line formula to forecast how much a customer might spend on merchandise if that customer visited the store 13 times in a 6 month period.

- Calculate indices for each month for the next two years.
- Graph a time series plot.
- In the Data Analysis Toolpak, use Excel’s Exponential Smoothing option.
- Apply a damping factor of .5, to your monthly sales data.
- Create a new time series graph that compares the original and the revised monthly sales data.