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Elden [556K]
2 years ago
5

Is ketchup a jelllllyyy? Help plsssss

Mathematics
2 answers:
zaharov [31]2 years ago
5 0
No it’s not a jelly or a jam
TiliK225 [7]2 years ago
3 0
Noo it’s not, pretty sure it’s fruit juice of the sort
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Stardust the unicorn, covered a distance of 50 miles on his first trip to the forest. On a later trip he travelled 300 miles whi
timama [110]
For this case, the first thing we must take into account is the following definition:
 d = v * t
 Where,
 d: distance
 v: speed
 t: time
 Substituting values we have:
 Trip 1:
 
50 = v * t1
 We cleared t1:
 t2 = (50) * (1 / v)
 Trip 2:
 
300 = (3 * v) * t2
 We cleared t2:
 t2 = (300/3) * (1 / v)
 t2 = (100) * (1 / v)
 Rewriting:
 t2 = 2 (50) * (1 / v)
 t2 = 2 * t1
 Answer:
 
His new time compared with the old time was:
 
Twice the old time.
 
t2 = 2 * t1.
4 0
3 years ago
I really need help please
Leokris [45]

Answer:

So we have two given angles- 31* and 43*.

First we add those together.

31* + 43* = 74*

Then, we subtract that amount from 180*

180* - 74* = 106*

106* is the missing angle.

x106* - 31* = 75*

x106* + 43* = 149*

~Hope this helps~

6 0
2 years ago
An aluminum can is a right cylinder. Find the amount of paper needed for the can's label and the total amount of aluminum needed
statuscvo [17]

Answer:

you did not specify the diamiter of the can please add another question and i will help

Step-by-step explanation:

it is imposible to answer right now

6 0
3 years ago
The CDC national estimates that 1 in 68 = 0.0147 children are diagnosed with have been diagnosed with Autism Spectrum Disorder (
kakasveta [241]

Answer:

Null hypothesis: p= 0.0147

Alternative hypothesis: p\neq 0.0147

A type of error II for this case would be FAIL to reject the null hypothesis that the population proportion is equal to 0.0147 when actually the alternative hypothesis is true (the true proportion is different from 0.0147).

Step-by-step explanation:

Previous concepts

A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".  

The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".  

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".  

Type I error, also known as a “false positive” is the error of rejecting a null  hypothesis when it is actually true. Can be interpreted as the error of no reject an  alternative hypothesis when the results can be  attributed not to the reality.  

Type II error, also known as a "false negative" is the error of not rejecting a null  hypothesis when the alternative hypothesis is the true. Can be interpreted as the error of failing to accept an alternative hypothesis when we don't have enough statistical power.  

Solution to the problem

On this case we want to test if the proportion of children diagnosed with Autism Spectrum Disorder (ASD) is different from 0.0147, so the system of hypothesis would be:

Null hypothesis: p= 0.0147

Alternative hypothesis: p\neq 0.0147

A type of error II for this case would be FAIL to reject the null hypothesis that the population proportion is equal to 0.0147 when actually the alternative hypothesis is true (the true proportion is different from 0.0147).

7 0
3 years ago
Read 2 more answers
James works for a delivery company. He gets paid a flat rate of $5 each day he works, plus an additional amount of money for eve
otez555 [7]

Answer:

(a) The rate of change for the money earned, measured as dollars per delivery, between 0 and 2 deliveries is $2.

(b) The rate of change is the same between the two time intervals.

Step-by-step explanation:

The rate of change for a variables based on another variable is known as the slope.

The formula to compute the slope is:

\text{Slope}=\frac{y_{2}-y_{1}}{x_{2}-x_{1}}

(a)

Compute the rate of change for the money earned, measured as dollars per delivery, between 0 and 2 deliveries as follows:

For, <em>x</em>₁ = 0 and <em>x</em>₂ = 2 deliveries the money earned are <em>y</em>₁ = $5 and <em>y</em>₂ = $9.

The rate of change for the money earned is:

\text{Slope}=\frac{y_{2}-y_{1}}{x_{2}-x_{1}}

        =\frac{9-5}{2-0}\\\\=\frac{4}{2}\\\\=2

Thus, the rate of change for the money earned, measured as dollars per delivery, between 0 and 2 deliveries is $2.

(b)

Compute the rate of change for the money earned, measured as dollars per delivery, between 2 and 4 deliveries as follows:

For, <em>x</em>₁ = 2 and <em>x</em>₂ = 4 deliveries the money earned are <em>y</em>₁ = $9 and <em>y</em>₂ = $13.

The rate of change for the money earned is:

\text{Slope}=\frac{y_{2}-y_{1}}{x_{2}-x_{1}}

        =\frac{13-9}{4-2}\\\\=\frac{4}{2}\\\\=2

The rate of change for the money earned, measured as dollars per delivery, between 2 and 4 deliveries is $2.

Compute the rate of change for the money earned, measured as dollars per delivery, between 6 and 8 deliveries as follows:

For, <em>x</em>₁ = 6 and <em>x</em>₂ = 8 deliveries the money earned are <em>y</em>₁ = $17 and <em>y</em>₂ = $21.

The rate of change for the money earned is:

\text{Slope}=\frac{y_{2}-y_{1}}{x_{2}-x_{1}}

        =\frac{17-21}{8-6}\\\\=\frac{4}{2}\\\\=2

The rate of change for the money earned, measured as dollars per delivery, between 6 and 8 deliveries is $2.

Thus, the rate of change is the same between the two time intervals.

8 0
3 years ago
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