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Fantom [35]
3 years ago
7

Help me please!!!!!!!!!!!!

Mathematics
1 answer:
iVinArrow [24]3 years ago
6 0

Answer: 0.25g<2.50.... g<10

Step-by-step explanation: Let us say that the number of gumballs bought is represented by the variable g. In this case, the question is asking how many gumballs can be bought without surpassing the price of $2.50. We know that each gumball is $0.25, therefore the number of gumballs we buy times $0.25 has to be less than $2.50. Hence, the inequality would be 0.25g<2.50. If we were to solve this then g<2.50/0.25-----> g<10. In conclusion, the number of gumballs you can buy has to be less than 10. Thank you!

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No. Brandon has done better than Andy because Andy scored a 64%, when Brandon scored a 65%
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Mason teaches ice skating. He earns
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Answer:

$735.00

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3 years ago
Assume that you plan to use a significance level of alpha α equals =0.05 to test the claim that p 1 p1 equals = p 2 p2. Use the
stiks02 [169]

Answer:

z=3.536

\hat p=0.204

p_v =2*P(Z>3.54)\approx 0.0004  

Step-by-step explanation:

1) Data given and notation  

X_{1}=172 represent the number of people with the characteristic 1

X_{2}=356 represent the number of people with the characteristic 2

n_{1}=677 sample 1 selected  

n_{2}=3377 sample 2 selected  

p_{1}=\frac{172}{677}=0.254 represent the proportion estimated for the sample 1

p_{2}=\frac{654}{3377}=0.194 represent the proportion estimated for the sample 2

\hat p represent the pooled estimate of p

z would represent the statistic (variable of interest)  

p_v represent the value for the test (variable of interest)  

\alpha=0.05 significance level given

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to check if is there is a difference between the two proportions, the system of hypothesis would be:  

Null hypothesis:p_{1} = p_{2}  

Alternative hypothesis:p_{1} \neq p_{2}  

We need to apply a z test to compare proportions, and the statistic is given by:  

z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}   (1)  

Where \hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{172+654}{677+3377}=0.204  

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.  

3) Calculate the statistic  

Replacing in formula (1) the values obtained we got this:  

z=\frac{0.254-0.194}{\sqrt{0.204(1-0.204)(\frac{1}{677}+\frac{1}{3377})}}=3.536    

4) Statistical decision

Since is a two side test the p value would be:  

p_v =2*P(Z>3.54)\approx 0.0004  

Comparing the p value with the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to to reject the null hypothesis, and we can say that the proportion analyzed is significantly different between the two groups.  

6 0
4 years ago
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By inspection we can see that <span>(1, 25), (2, 36), (3, 49), (4, 64), and (5, 81)

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Therefore, the rule that represents this function is y=(x+4)^2.</span>
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3 0
3 years ago
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