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oee [108]
2 years ago
14

Which product is negative?

Mathematics
2 answers:
GaryK [48]2 years ago
7 0

The product that will give a negative answer is: −3 × 4 × (−2) × (−7) = -168.

<h3>How to Find the Product of Negative Numbers?</h3>

The rule when multiplying two negative numbers is that, the negative signs will cancel each other. That is, minus multiplied by minus will give as plus.

For example, -a × -b = ab

Also, "plus" multiplied by "minus" will also give as "minus. For example:

-a × b = -ab.

Using the above rule, let's find the product of the following:

−3 × 5 × (−6) × 4 = -15 × (-24)

−3 × 5 × (−6) × 4 = 360 [minus × minus = plus]

−7 × (−3) × (−9) × 0 = 0 [anything multiplied by 0 must result to 0]

−4 × (−6) × (−3) × (−5)

= 24 × 15

−4 × (−6) × (−3) × (−5)  = 360

−3 × 4 × (−2) × (−7)

= -12 × 14

−3 × 4 × (−2) × (−7) = -168

Therefore, the product that will give a negative answer is: −3 × 4 × (−2) × (−7) = -168.

Learn more about product on:

brainly.com/question/1130868

#SPJ1

a_sh-v [17]2 years ago
6 0

Answer:

#4 is the answer

Step-by-step explanation:

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Answer:

Null hypothesis:p_{1} = p_{2}    

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

z=\frac{0.410-0.35}{\sqrt{0.385(1-0.385)(\frac{1}{1000}+\frac{1}{700})}}=2.502    

p_v =2*P(Z>2.502)= 0.0123    

Comparing the p value with the significance level assumed \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 at 5% of significance.    

Step-by-step explanation:

Data given and notation    

X_{1}=410 represent the number of people indicating that their financial security was more than fair for the recent year

X_{2}=245 represent the number of people indicating that their financial security was more than fair for the year before

n_{1}=1000 sample 1 selected  

n_{2}=700 sample 2 selected  

p_{1}=\frac{410}{1000}=0.410 represent the proportion estimated of indicating that their financial security was more than fair this year

p_{2}=\frac{245}{700}=0.35 represent the proportion estimated of indicating that their financial security was more than fair the year before

\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 significance level given  

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{410+245}{1000+700}=0.385  

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.    

Calculate the statistic  

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

z=\frac{0.410-0.35}{\sqrt{0.385(1-0.385)(\frac{1}{1000}+\frac{1}{700})}}=2.502    

Statistical decision  

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

p_v =2*P(Z>2.502)= 0.0123    

Comparing the p value with the significance level assumed \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 at 5% of significance.    

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