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faust18 [17]
4 years ago
13

Which is the solution set of the compound inequality 3.5x-10>-3 and 8x-9<39?

Mathematics
2 answers:
Goshia [24]4 years ago
6 0
Solve the two inequalities.
3.5x-10>-3
3.5x>7
x>2

8x-9<39
8x<48
x<6

Hope it helped!
Andreyy894 years ago
5 0

Answer:

The solution set of the given compound inequality is x ∈ (2 , 6)    

Step-by-step explanation:

The inequalities are given to be : 3.5x - 10 > -3 and 8x - 9 < 39

First take : 3.5x - 10 > -3

Adding 10 on both the sides

⇒ 3.5x - 10 + 10 > -3 + 10

⇒ 3.5x  > 7

Now, dividing by 3.5 both the sides

⇒ x > 2

Now, 8x - 9 < 39

Adding 9 on both the sides

⇒ 8x - 9 + 9 < 39 + 9

⇒ 8x < 48

Now, dividing by 8 on both the sides

⇒ x < 6

Thus, The solution set of the given compound inequality is x ∈ (2 , 6)

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3 years ago
Ten years ago 53% of American families owned stocks or stock funds. Sample data collected by the Investment Company Institute in
Alborosie

Answer:

a) Null hypothesis:p\geq 0.53  

Alternative hypothesis:p < 0.53  

b) z=\frac{0.46 -0.53}{\sqrt{\frac{0.53(1-0.53)}{300}}}=-2.429  

p_v =P(Z

c) So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of American families owning stocks or stock funds is significantly less than 0.53 .  

Step-by-step explanation:

Data given and notation

n=300 represent the random sample taken

\hat p=0.46 estimated proportion of American families owning stocks or stock funds

p_o=0.53 is the value that we want to test

\alpha=0.01 represent the significance level

Confidence=99% or 0.99

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

Part a

We need to conduct a hypothesis in order to test the claim that proportion is less than 0.53 or 53%.:  

Null hypothesis:p\geq 0.53  

Alternative hypothesis:p < 0.53  

Part b

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.

Calculate the statistic  

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

z=\frac{0.46 -0.53}{\sqrt{\frac{0.53(1-0.53)}{300}}}=-2.429  

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=0.01. 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

Part c  

So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of American families owning stocks or stock funds is significantly less than 0.53 .  

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Step-by-step explanation:

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Answer:

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Step-by-step explanation:

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