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yuradex [85]
3 years ago
8

The combined sales tax rate for your county is 7.25%. How much would you pay to purchase a new video game system with a listed p

rice of $299?
Mathematics
2 answers:
elena-14-01-66 [18.8K]3 years ago
8 0

Answer:easy multiply the sales tax to and from the total cost


Step-by-step explanation:

299*7.25%=321.65

TiliK225 [7]3 years ago
3 0

Answer:

320.68

Step-by-step explanation:

i just got it right

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Graph the solution of y-2>1 on a number line
Angelina_Jolie [31]
First, you need to move 2 to the other side. You accomplish this by adding 2 to 1. You have y>3. Since your variable is smaller than 3, draw an open circle on the 3 mark and a squiggly line left of 3. 
8 0
3 years ago
Does going to a private university increase the chance that a student will graduate with student loan debt? A national poll by t
Snowcat [4.5K]

Answer:

Null hypothesis:p \leq 0.69  

Alternative hypothesis:p > 0.69  

Step-by-step explanation:

1) Data given and notation

n=1500 represent the random sample taken

X represent the number of graduates that had student loan debt in 2014

\hat p=0.71 estimated proportion of adults that said that it is morally wrong to not report all income on tax returns

p_o=0.69 is the value that we want to test

\alpha represent the significance level  

z would represent the statistic (variable of interest)

p_v 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 if there was a significant increase in the proportion of student loan debt for public and nonprofit colleges in 2014 respect to the value of 2013.:  

Null hypothesis:p \leq 0.69  

Alternative hypothesis:p > 0.69  

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{0.71 -0.69}{\sqrt{\frac{0.69(1-0.69)}{1500}}}=1.675  

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

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

p_v =P(Z>1.675)=0.047  

If we compare the p value obtained 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, and we can said that at 5% of significance the proportion of adults that said that it is morally wrong to not report all income on tax returns  is not significantly higher than 0.69.  

5 0
3 years ago
) What is the GCF of 36 and 60?<br> 4<br> 6<br> 12<br> 18
My name is Ann [436]

Answer:

12

Step-by-step explanation:

List out the factors of each

36: 1,2,3,4,6,9,12,18,36

60: 1,2,3,4,5,6,10,12,15,20,30,60

the highest number they both have in common is 12

8 0
3 years ago
4x – 7y + 3z - 10<br><br> What's the coefficient of the 2nd term?
Illusion [34]
That would be 7 because it is placed in front of the y

6 0
3 years ago
Instead of using the values {1,2,3,4,5,6} on a dice, suppose a pair of dice have the following {1,2,2,3,3,4} on one die and {1,3
levacccp [35]

Answer: The answer is \dfrac{1}{24}.


Step-by-step explanation:  Given that instead of using the values {1,2,3,4,5,6} on a dice, suppose a pair of dice have the numbers {1,2,2,3,3,4} on one die and {1,3,4,5,6,8} on the other. We are to find the probability of getting a sum of 12 by rolling these dice.

Since the first die has 4 distinct numbers, and second has 6 distinct numbers, so total number of combinations possible = 4 × 6 = 24.

Now, number of chances where we get the rolling sum as 12 is only one, i.e., (4,8).

Therefore, the probability of getting sum 12 is

p=\dfrac{1}{24}.

Thus, the answer is \dfrac{1}{24}.


6 0
3 years ago
Read 2 more answers
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