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Eva8 [605]
3 years ago
12

Stephen wakes up late and runs to catch the bus, his running speed is 4 m/s, he gets to the bus stop in two minutes. How many me

tres is the bus stop from his house
Mathematics
2 answers:
Paladinen [302]3 years ago
6 0
U multiply 120 and 4 to get 480 so the total m from the bus to his house is 480m
alisha [4.7K]3 years ago
5 0
4*120=480 meters from the bus
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Please help me due at 11:59 show how you got it if you can.
xz_007 [3.2K]
No clue if this is right

5 0
3 years ago
Read 2 more answers
4 x 7= (4x3)+(4x4) is an example of what property?
Arlecino [84]

Answer:

distributed property

Step-by-step explanation:


8 0
3 years ago
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What are the coordinates of the midpoint?
xz_007 [3.2K]

Answer:

Midpoint (4|7)

Step-by-step explanation:

A(2,6) and B(6,8)

at first add the x values and divide it by two

(2+6)/2=4

second, add the y values and divide it by two

(6+8)/2=7

Midpoint (4|7)

-> and you can see it it is exactly in the middle of line segment

3 0
3 years ago
The mayor of a town has proposed a plan for the annexation of a new bridge. A political study took a sample of 1000 voters in th
garri49 [273]

Answer:

z=\frac{0.42 -0.39}{\sqrt{\frac{0.39(1-0.39)}{1000}}}=1.945  

p_v =P(Z>1.945)=0.0259  

If we compare the p value obtained with the significance level given \alpha=0.02 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 2% of significance the proportion of residents who favored annexation is not significantly higher than 0.39.  

Step-by-step explanation:

1) Data given and notation  

n=1000 represent the random sample taken

\hat p=0.42 estimated proportion of residents who favored annexation

p_o=0.39 is the value that we want to test

\alpha=0.02 represent the significance level

Confidence=98% or 0.98

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 the proportion is higher than 0.39:  

Null hypothesis:p\leq 0.39  

Alternative hypothesis:p > 0.39  

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{0.42 -0.39}{\sqrt{\frac{0.39(1-0.39)}{1000}}}=1.945  

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 provided \alpha=0.02. 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>1.945)=0.0259  

If we compare the p value obtained with the significance level given \alpha=0.02 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 2% of significance the proportion of residents who favored annexation is not significantly higher than 0.39.  

4 0
3 years ago
Does anyone get this​
ivolga24 [154]

Answer:

Step-by-step explanation:

Ok so to find constant of proportionality, you need to find K.

X would be gallons and y is cost.

To find k you need to do k=y/x

k=17.50/5

k=3.5

That's the first one. Now you need to make sure its <em>constant</em> with each one so keep going.

k=35/10

k=3.5

k=52.50/15

k=3.5

For all of those 3.5 was constant.

Because they are constant, that means the data in the graph is a proportion.

An example of an unproportional relationship would be if instead of 15 in the last column, it was 16.

k=52.50/16

k=3.28

That be different from the other 3.5's meaning its not proportional. But that's just an example.

If you need extra help reach out to me and I'll help you best I can. I hope this helps though. <3

8 0
3 years ago
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