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podryga [215]
3 years ago
5

What is an equation of the line that passes through the point

Mathematics
1 answer:
zubka84 [21]3 years ago
6 0

x + 5y - 10 = 0  there you have it

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4 ∈ {4, 14, 17} is this true or false
Natalija [7]
The symbol "<span>∈" means "belongs to".
This means that a certain element belongs to or is found in the set.

The set given contains three numbers which are 4, 14 and 17.
As you can see, 4 is found in this set, therefore, 4 belongs to this set.

Based on this, the given statement is true.</span>
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Stuck on this question. Help appreciated!!
marta [7]

Answer:

the missing is 4.98

Step-by-step explanation:

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Luba_88 [7]

Answer:

64

Step-by-step explanation:

Each side length is being multiplied by 8

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Write a proportion that can be used to find the value of x. Do not solve.<br> x<br> 18<br> 32
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Step-by-step explanation: ummnmm i think 18

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3 years ago
An educator claims that the average salary of substitute teachers in school districts is less than $60 per day. A random sample
valentina_108 [34]

Answer:

t=\frac{58.875-60}{\frac{5.083}{\sqrt{8}}}=-0.626    

The degrees of freedom are given by:

df=n-1=8-1=7  

The p value would be given by:

p_v =P(t_{(7)}  

Since the p value is higher than 0.1 we have enough evidence to FAIl to reject the null hypothesis and we can't conclude that the true mean is less than 60

Step-by-step explanation:

Information given

60, 56, 60, 55, 70, 55, 60, and 55.

We can calculate the mean and deviation with these formulas:

\bar X= \frac{\sum_{i=1}^n X_i}{n}

s=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}

Replacing we got:

\bar X=58.875 represent the mean

s=5.083 represent the sample standard deviation for the sample  

n=8 sample size  

\mu_o =60 represent the value that we want to test

\alpha=0.1 represent the significance level

t would represent the statistic

p_v represent the p value

Hypothesis to test

We want to test if the true mean is less than 60, the system of hypothesis would be:  

Null hypothesis:\mu \geq 60  

Alternative hypothesis:\mu < 60  

The statistic would be given by:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

Replacing the info we got:

t=\frac{58.875-60}{\frac{5.083}{\sqrt{8}}}=-0.626    

The degrees of freedom are given by:

df=n-1=8-1=7  

The p value would be given by:

p_v =P(t_{(7)}  

Since the p value is higher than 0.1 we have enough evidence to FAIl to reject the null hypothesis and we can't conclude that the true mean is less than 60

3 0
3 years ago
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