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3 years ago

Which storyboard component is a pictorial summary of how web pages in a website will connect with one another?

Computers and Technology

1 answer:

kozerog [31]3 years ago

8 0

Answer: Flowchart.

A website flowchart is a tool used for a websites storyboard to depict the connections of each web page. The flowchart also helps the web designer understand how the different web pages are going to be connected throughout the entire website.

Flowcharts are visual representations of processes that could be done in the website. Flowcharts are similar to site maps; however, site maps are usually a single representation of how the users may navigate through the website. In flowcharts, they represent the different types of possible navigation that the user may do whilst in the website.

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A sail boat went to a row boat.

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CODEHS 3.5.4 Obi-Wan Says

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A sample run of the program is attached

Learn more : brainly.com/question/25506437

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2 years ago

What is the first step when creating a 3-D range name?

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Open the Name Manager, and click New.

Explanation:

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2 years ago

The data below represents the yearly earnings (in $1000s of dollars) that high school and college (BS) graduates earn at a small

Taya2010 [7]

Answer:

library(moments)

library(readxl)

Exam1Q1 <- read_excel("Exam1Q1.xlsx")

View(Exam1Q1)

## Warning in system2("/usr/bin/otool", c("-L", shQuote(DSO)), stdout = TRUE):

## running command ''/usr/bin/otool' -L '/Library/Frameworks/R.framework/

## Resources/modules/R_de.so'' had status 1

plot(density(Exam1Q1$Highschool))

gostino.test(Exam1Q1$Highschool)

## D'Agostino skewness test

## data: Exam1Q1$Highschool

## skew = -0.24041, z = -0.69269, p-value = 0.4885

## alternative hypothesis: data have a skewness

agostino.test(Exam1Q1$BS)

## D'Agostino skewness test

## data: Exam1Q1$BS

## skew = 0.53467, z = 1.49330, p-value = 0.1354

## alternative hypothesis: data have a skewness

anscombe.test(Exam1Q1$Highschool)

## Anscombe-Glynn kurtosis test

## data: Exam1Q1$Highschool

## kurt = 2.56950, z = -0.29677, p-value = 0.7666

## alternative hypothesis: kurtosis is not equal to 3

anscombe.test(Exam1Q1$BS)

## Anscombe-Glynn kurtosis test

## data: Exam1Q1$BS

## kurt = 3.6449, z = 1.2599, p-value = 0.2077

## alternative hypothesis: kurtosis is not equal to 3

t.test(Exam1Q1$Highschool,Exam1Q1$BS, var.equal = T)

## Two Sample t-test

## data: Exam1Q1$Highschool and Exam1Q1$BS

## t = 0.16929, df = 76, p-value = 0.866

## alternative hypothesis: true difference in means is not equal to 0

## 95 percent confidence interval:

## -1.131669 1.341926

## sample estimates:

## mean of x mean of y

## 39.51282 39.40769

Explanation:

Summary:

The data set include two dependent variables which states High School annual earnings and BS annual earnings in the same small firm. Firstly, I used density plot function to view the distribution of two sets of variables. Secondly, I tested the skewness and kurtosis.Skewness of High School is -0.24041 which is left tail. Skewness of BS is 0.53476 which is right tail.Kurtosis of High School is 2.5695 which lower than 3 is platykurtic. Kurtosis of BS is 3.6449 which larger than 3 is leptokurtic. Thirdly, the sample population is 39 for each and has unknow standard deviation, so that I’m going to use t-test to perform the comparing analysis. The result shows p-value which equal to 0.866 is larger than significant value(alpha = 0.05). To the concludsion, there is no difference between yearly earnings of High School and of BS at a small firm.

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2 years ago

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A chess-playing computer program that routinely calculates all possible outcomes of all possible game moves best illustrates problem solving by means of brute force.

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