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horsena [70]
3 years ago
13

The temperature is -1 F. If the temperature rises 10 F, 2hat will the new temperature be

Mathematics
1 answer:
Dmitry [639]3 years ago
5 0

Answer:

9F would be the new temperature since -1+10=9

You might be interested in
Alison wants to find out how much time people spend reading books. She is going to use a questionnaire.
neonofarm [45]
Well, for her questionnaire she could use and create questions or queries that are obviously related to her hypothesis or study. These could be done in a likert type of scale. <span><span>
1.       </span>I read most often.
</span> <span><span>a.       </span>Strongly Agree </span> <span><span>b.      </span>Agree</span> <span><span>c.       </span>Disagree </span> <span><span>d.      </span>Strongly Disagree</span> <span><span>

2.       </span>When I read my books its takes me 24 hours a day</span> <span><span>
a.       </span>Strongly Agree </span> <span><span>b.      </span>Agree</span> <span><span>c.       </span>Disagree </span> <span><span>d.      </span>Strongly Disagree</span> <span><span>

3.       </span>When I start reading I can’t stop</span> <span><span>
a.       </span>Strongly Agree </span> <span><span>b.      </span>Agree</span> <span><span>c.       </span>Disagree </span> <span><span>d.      </span>Strongly Disagree</span>



5 0
3 years ago
When purchasing bulk orders of​ batteries, a toy manufacturer uses this acceptance sampling​ plan: Randomly select and test 56 b
nydimaria [60]

Answer:

98.1% chance of being accepted

Step-by-step explanation:

Given:

sample size,n=56

acceptance condition= at most 2 batteries do not meet specifications

shipment size=7000

battery percentage in shipment that do not meet specification= 1%

Applying binomial distribution

<h3>P(x)=∑ᵇₐ=₀ (n!/a!(n-a)!)p^a (1-p)^(n-a)</h3>

In this formula, a is the acceptable number of defectives;

 n is the sample size; 

p is the fraction of defectives in the population.  

Now putting the value

a= 2

n=56

p=0.01

\frac{56!}{0!\left(56-0\right)!}\left(0.01\right)^0\:\left(1-0.01\right)^{\left(56-0\right)} + \frac{56!}{1!\left(56-1\right)!}\left(0.01\right)^1\:\left(1-0.01\right)^{\left(56-1\right)} +\:\frac{56!}{2!\left(56-2\right)!}\left(0.01\right)^2\:\left(1-0.01\right)^{\left(56-2\right)}

=0.56960+0.32219+0.08949

After summation, we get 0.981 i.e. a 98.1% chance of being accepted.  As this is such a high chance, we can expect many of the shipments like this to be accepted!

7 0
3 years ago
What is the answer to 198=-4x+2(-6x+3)
liq [111]

Answer:  x = 12

i hope this helps

7 0
3 years ago
What is the product of <br>(7/8)(-16)(-7)(-1/14)<br><br>A -7<br>B -9/16<br>C -1/7<br>D 23/12​
Nat2105 [25]

Answer:

-7

Step-by-step explanation:

(7/8)(-16)(-7)(-1/4)

(7/8)(-1/4)(-16)(-7)

(-1/16)(112)

-7

4 0
3 years ago
A student did a survey on how people feel when they are hungry. The results were that more people felt a stabbing pain than thei
Kamila [148]

it’s 19 :)

filler

:)

hi

7 0
3 years ago
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