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Natasha_Volkova [10]
2 years ago
5

I cant seem to understand this. please explain :)) (business math)

Mathematics
2 answers:
Katena32 [7]2 years ago
7 0

Answer:

C

Step-by-step explanation:

Using the chart, it shows the total amount that the retailer (the chip company) spends to make each bag of chips. We're looking at the $3 chip bag, so looking we can see that it costs the company $1.00 for each bag. If it costs $1 to make and it sells for $3, the profit is $2. This chart makes it easy because it calculates the total charts for you.

Alex787 [66]2 years ago
4 0

Answer:

$1.50 bro

Step-by-step explanation:

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Carrie has 300 marbles 25 of the marbles are green 15% of the marbles are red and the rest of the marbles are blue how many blue
Rus_ich [418]

Answer:

230.

Step-by-step explanation:

\:  \:  \:  \: 300 - 25 -  \frac{15}{100}  \times 300 =  \\  = 275 - 45 =  \\  = 230

Hope this helps!

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3 years ago
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One side of a square flower bed is 21 feet long. How many plants are needed if they are to be spaced 21 inches apart around the
Lapatulllka [165]

Answer:

48 plants.

Step-by-step explanation:

On one side there would be  21 * 12  inches / 21 inches =- 12 plants.

There are 4 sides so that makes 48 plants.

4 0
3 years ago
Find the following measure for this figure.
uranmaximum [27]

Answer:

The correct option is 1. The circumference of circle is 12π units.

Step-by-step explanation:

From the given figure it is clear that the radius of the circle is6 units.

The circumference of a circle is

C=2\pi r

Where, r is the radius of the circle.

The circumference of the circle is

C=2\pi (6)

C=12\pi

The circumference of circle is 12π units.

Therefore option 1 is correct.

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3 years ago
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2 years ago
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We are conducting a hypothesis test to determine if fewer than 80% of ST 311 Hybrid students complete all modules before class.
Juli2301 [7.4K]

Answer:

z=\frac{0.881 -0.8}{\sqrt{\frac{0.8(1-0.8)}{110}}}=2.124  

Null hypothesis:p\geq 0.8  

Alternative hypothesis:p < 0.8  

Since is a left tailed test the p value would be:  

p_v =P(Z  

So the p value obtained was a very high value and using the significance level assumed \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis.

Be Careful with the system of hypothesis!

If we conduct the test with the following hypothesis:

Null hypothesis:p\leq 0.8  

Alternative hypothesis:p > 0.8

p_v =P(Z>2.124)=0.013  

So the p value obtained was a very low value and using the significance level assumed \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis.

Step-by-step explanation:

1) Data given and notation  

n=110 represent the random sample taken

X=97 represent the students who completed the modules before class

\hat p=\frac{97}{110}=0.882 estimated proportion of students who completed the modules before class

p_o=0.8 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v{/tex} represent the p value (variable of interest)  2) Concepts and formulas to use  We need to conduct a hypothesis in order to test the claim that the true proportion is less than 0.8 or 80%:  Null hypothesis:[tex]p\geq 0.8  

Alternative hypothesis:p < 0.8  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.881 -0.8}{\sqrt{\frac{0.8(1-0.8)}{110}}}=2.124  

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level assumed \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(Z  

So the p value obtained was a very high value and using the significance level assumed \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis.

Be Careful with the system of hypothesis!

If we conduct the test with the following hypothesis:

Null hypothesis:p\leq 0.8  

Alternative hypothesis:p > 0.8

p_v =P(Z>2.124)=0.013  

So the p value obtained was a very low value and using the significance level assumed \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis.

5 0
3 years ago
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