Ask question

Ask question

All categories

skelet666 [1.2K]

3 years ago

5

Charlie used one and two thirds cups of walnuts and two and one sixth cups of cranberries to make breakfast bread.How many cups

walnuts and cranberries did he use in all

1 answer:

quester [9]3 years ago

6 0

Answer:

5/6 cups

Step-by-step explanation:

2/3 -walnuts

1/6-cranberries

2/3+1/6

common denominator-12

2/3 ·4/4=8/12

1/6 · 2/2= 2/12

8/12+2/12=10/12

10/12=5/6

You might be interested in

Identify the type of function represented by... please help

Vladimir [108]

Answer:

Exponential decay.

Step-by-step explanation:

You can use a graphing utility to check this pretty quickly, but you can also look at the equation and get the answer. Since the function has a variable in the exponent, it definitely won't be a linear equation. Quadratic equations are ones of the form ax^2 + bx + c, and your function doesn't look like that, so already you've ruled out two answers.

From the start, since we have a variable in the exponent, we can recognize that it's exponential. Figuring out growth or decay is a little more complicated. Having a negative sign out front can flip the graph; having a negative sign in the exponent flips the graph, too. In your case, you have no negatives; just 2(1/2)^x. What you need to note here, and you could use a few test points to check, is that as x gets bigger, (1/2) will get smaller and smaller. Think about it. When x = 0, 2(1/2)^0 simplifies to just 2. When x = 1, 2(1/2)^1 simplifies to 1. Already, we can tell that this graph is declining, but if you want to make sure, try a really big value for x, like 100. 2(1/2)^100 is a value very very very veeery close to 0. Therefore, you can tell that as the exponent gets larger, the value of the function goes down and gets closer and closer to zero. This means that it can't be exponential growth. In the case of exponential growth, as the exponent gets bigger, your output should increase, too.

3 0

3 years ago

What is the area? (IXL)

Zina [86]

Answer:

45 square meters

Step-by-step explanation:

we know that

The area of trapezoid is equal to

$A=\frac{1}{2}(b1+b2)h$

where

b1 and b2 are the parallel bases

h is the height of trapezoid (perpendicular distance between the parallel bases)

we have

$b1=6\ m\\b2=9\ m\\h=6\ m$

substitute

$A=\frac{1}{2}(6+9)6$

$A=45\ m^2$

3 0

3 years ago

ASAP, GEOMETRY PLEASE HELP ME

Black_prince [1.1K]

Answer: 405 yd squared

Step-by-step explanation:

V = (bh)/2

b = (15 x 9)/2 = 67.5

67.5 x 12 = 810

810/ 2 = 405

3 0

2 years ago

How to solve all the questions in the pictures please

IgorLugansk [536]

Answer:

See attachments

Step-by-step explanation:

7 0

3 years ago

The maximum acceptable level of a certain toxic chemical in vegetables has been set at 0.4 parts per million (ppm). A consumer h

Elodia [21]

Answer:

Null hypothesis : $\mu \leq 0.4$

Alternative hypothesis: $\mu >0.4$

And for this case a type of error I for this case would be reject the null hypothesis that the population mean is lower or equal than 0.4 when actually is true.

A Type I error would occur if, in fact, μ ≤ 0.4 ppm, but the results of the sampling lead to the conclusion that μ > 0.4 ppm

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

For this case we are trying to check the following hypothesis:

Null hypothesis : $\mu \leq 0.4$

Alternative hypothesis: $\mu >0.4$

And for this case a type of error I for this case would be reject the null hypothesis that the population mean is lower or equal than 0.4 when actually is true.

A Type I error would occur if, in fact, μ ≤ 0.4 ppm, but the results of the sampling lead to the conclusion that μ > 0.4 ppm

7 0

3 years ago