How do you do 1.17.5, invert colors, on codehs?

Suppose that a machine with a 5-stage pipeline uses branch prediction. 15% of the instructions for a given test program are bran

zhenek [66]

Answer:

solution attached below

Explanation:

3 0

3 years ago

Provide a brief, high-level description of how the Internet’s connection-oriented service provides reliable transport.

mario62 [17]

Answer:

Connection-oriented is the method which is implemented in the transport and data link layer. It is basically depend upon the physical connection in the network system.

Transmission control protocol (TCP) is the connection oriented and user datagram protocol (UDP) is the connection less network transport layer. The TCP and UDP both are operate in the internet protocol (IP).

It basically require connection and it can be establish before sending data. This is also known as reliable network connection service. The connection oriented service establish connection between the different connection terminal before sending any data or information. It can easily handle traffic efficiently.

7 0

3 years ago

From which latin word the word computer is derived

12345 [234]

Answer:

Putare

Explanation:

I took latin last year! Merry Christmas and hope this helps

8 0

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.

3 0

3 years ago

How is hashing used?

Aliun [14]

Answer: Its A. used to protect the transmission of software and large files to be downloaded

Explanation: Hashing is an algorithm that calculates a fixed-size bit string value from a file. A file basically contains blocks of data. Hashing transforms this data into a far shorter fixed-length value or key which represents the original string. The hash value can be considered the distilled summary of everything within that file. A good hashing algorithm would exhibit a property called the avalanche effect, where the resulting hash output would change significantly or entirely even when a single bit o...

3 0

3 years ago