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xenn [34]
3 years ago
13

11y evaluate and y equals 7

Mathematics
2 answers:
OlgaM077 [116]3 years ago
7 0

Answer:

77

Step-by-step explanation:

If y = 7 it's just 11 x 7

11 x 7 = 77

hope this helps :)

mariarad [96]3 years ago
3 0

Answer:

77

Step-by-step explanation:

11y means  11 x y (which is a number we dont know)

so if 7 is y then you just multiply them two

11 x 7 = 77


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A well-known brokerage firm executive claimed that at least 41 % of investors are currently confident of meeting their investmen
atroni [7]

Answer:

z=\frac{0.398 -0.41}{\sqrt{\frac{0.41(1-0.41)}{88}}}=-0.229

Step-by-step explanation:

1) Data given and notation n  

n=88 represent the random sample taken

X=35 represent the adults that said they are confident of meeting their goals

\hat p=\frac{35}{88}=0.398 estimated proportion of adults that said they are confident of meeting their goals

p_o=0.41 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 that at least 41 % of investors are currently confident of meeting their investment goals.:

Null hypothesis:p=0.41  

Alternative hypothesis:p < 0.41  

When we conduct a proportion test we need to use the z statisitc, 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{0.398 -0.41}{\sqrt{\frac{0.41(1-0.41)}{88}}}=-0.229

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This methos 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 is not provided, but we can assume \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a unilateral test the p value would be:  

p_v =P(z  

Using the p value obtained and the significance level assumed \alpha=0.05 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 5% of significance the proportion of of investors that are currently confident of meeting their investment goals is not significantly lower than 0.41 or 41%.  

4 0
3 years ago
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