# Typing in red.

## Answers

need more context to what you mean

Explanation: no clues

What exactly are you trying to ask?

a

Step-by-step explanation:

since the school recorded is in two minutes, they wrote 420 words, and Katie in 5 minutes wrote 600 words, if you put the average to the person who wrote 420 words in 2 minutes to-

in every too minutes they write 420 words.

so in four minutes they would of typed 840 words, which is more words than Katie in less minutes.

Answer is $15,000

$6,000 share of ordinary income plus $9,000 gain for a $50,000 distribution in excess of her $41,000 stock basis.

B. 49.5 and 65.5 words per minute

Step-by-step explanation:

95.45% range estimate for the student's typing speed can be calculated using the equation Y±(z×SE) where

Y is the mean typing speed regression estimate for 2 hrs of typing instruction, 5 hrs practice and 2.5 hours work per week. (7×2 + 5×5 + 3×2.5 + 11 = 57.5 hours)z is the z-score for 95.45% probability (2)SE is the standard error of the estimate (4 hours)Thus, Y±(z×SE) =57.5±(2×4) that is, 95.45% probability range for the student's typing speed is between 49.5 hours and 65.5 hours

Development of tissue typing changed organ transplantation as

Tissue typing minimizes the chance of rejection

Explanation:

Before tissue typing the chances of rejection of organs y the body of the person needing a transplant was very high and it was a dangerous procedure with little chance of success.

Tissue typing is a process by which the sample tissue of the donor is matched with the sample tissue of the patient in need of help. This makes it viable for the person to know if the organs will be rejected or not before the actual surgery takes place and has allowed for greater successes in transplant thus.

i think the answer is A. the average typing speed of the students but im not sure

plz let me know if i was right :)

The right answer is:

If the mean typing speed of workers from the agency is 60 wpmwpm, the probability of selecting a sample of 50 workers with mean 58.8 wpmwpm or less is 0.267.

Step-by-step explanation:

The P-value gives us the probability of getting the sample we are evaluating (in this case a sample with size n=50 and mean=58.8 wpm), if the null hypothesis is true (in this case, μ=60 wpm).

If the P-value is low enough, that is under the significance level, then we can infer that the mean that the null hypothesis states is not the actual mean, and we have evidence to reject the null hypothesis.

I’m pretty sure the answer is a if it’s not I’m sorry

Typing without looking at the keyboard and using all fingers. I do this, so I'm 99% that's the correct answer.