HELP!!

PLEASE HELP!! A tennis ball machine serves a ball vertically into the air from a height of two feet, with an initial speed of 1

ch4aika [34]

Thank you for posting your question here. I hope the answer below will help.

Vo=110 feet per second
ho=2 feet 
So, h(t) = -16t^2 +110t +2 
Take the derivative: h'(t) = 110 -32t 
The maximum height will be at the inflection when the derivative crosses the x-axis aka when h'(t)=0. 
So, set h'(t)=0 and solve for t: 
0 = 110 -32t 
-110 = -32t 
t=3.4375 
t=3.44 seconds

4 0

2 years ago

Read 2 more answers

Find the 50th term of 0,3,6,9

nalin [4]

$\text{a}_1=0 \ \text{and} \ \text{a}_2=3\\\\\text{r}=\text{a}_2-\text{a}_1=3-0=3\\\\\text{a}_{50}=\text{a}_1+49\text{r}=0+49\cdot3=0+147=147\\\\\huge\boxed{\text{a}_{50}=147}$

7 0

3 years ago

Will the probabilities from an experiment with 20 trials be exactly the same if you repeat the experiment? (Explain your thinkin

trasher [3.6K]

Hello, each and every one of your 20 trials should be very similar to the one prior, as long as you keep the data the same, such as how much water you use, or the length of an object, etc.

I hope that helped, if it did in any way, place mark as brainliest, thank, and rate me! If you need any more help or have any more questions, please feel free to ask!

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4 0

3 years ago

Minh is packing books into

Anna007 [38]

The mass of each book in grams if each box weighs 20 kilograms is 2000 grams

Mass of each box = 20 kilograms
Total books in the box = 10 books

<h3>Converting kilograms to grams</h3>

1 kilograms = 1000 grams

20 kilograms = 20,000 grams

Mass of each book in grams = 20,000 grams / 10

= 2000 grams

Learn more about kilograms to grams:

brainly.com/question/9301317

#SPJ1

8 0

2 years ago

The weights of college football players are normally distributed with a mean of 200 pounds and a standard deviation of 50 pounds

Feliz [49]

Answer:

0.3811 = 38.11% probability that he weighs between 170 and 220 pounds.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

$\mu = 200, \sigma = 50$