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Scilla [17]
2 years ago
5

Analyze the following computer password in terms of how secure it might be. Describe the criteria you use in determining its str

engths and weaknesses. born2ski4evr!
Mathematics
2 answers:
Mice21 [21]2 years ago
7 0
For maximum security I would advise you to add capital letters
Mkey [24]2 years ago
6 0

Answer:

The password is less secure.

Step-by-step explanation:

We have the password given by,

born2ski4evr!

It is required to determine the strengths and weaknesses of this password.

From the given password, we can see that,

As the password has more than 8 characters and it includes a special character ' ! ' and numbers 2, 4. Also, the combination of letters and numbers are in jumbled form. These contributes to the strengths of this password.

Moreover, as the password does not contain any 'capital letter', this will make it less secure and hence becomes its weakness.

To convert this password into a strong password, some of the letters should be changed into their capital form such as,

BorN2sKi4evR!

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Nady [450]
abx - 5 = 0

Add 5 to both sides:
abx = 5

Divide by <em>ab</em>:
x =  \frac{5}{ab}
3 0
2 years ago
To plan the budget for next year a college must update its estimate of the proportion of next year's freshmen class that will ne
Naily [24]

Answer:

Null hypothesis:p\leq 0.35  

Alternative hypothesis:p > 0.35  

z=\frac{0.447 -0.35}{\sqrt{\frac{0.35(1-0.35)}{150}}}=2.491  

p_v =P(z>2.491)=0.0064  

So the p value obtained was a very low value and using the significance level assumed \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of applicants who request financial aid is significantly higher than 0.35

Step-by-step explanation:

Data given and notation

n=150 represent the random sample taken

X=67 represent the applicants who request financial aid

\hat p=\frac{67}{150}=0.447 estimated proportion of applicants who request financial aid

p_o=0.35 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)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion of applicants who request financial aid is higher than 0.35.:  

Null hypothesis:p\leq 0.35  

Alternative hypothesis:p > 0.35  

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{0.447 -0.35}{\sqrt{\frac{0.35(1-0.35)}{150}}}=2.491  

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 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>2.491)=0.0064  

So the p value obtained was a very low value and using the significance level assumed \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of applicants who request financial aid is significantly higher than 0.35

5 0
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Which transformation causes the described change in the graph of the function y = cos x?
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A: a horizontal shrink would be caused by cos 3x.
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