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Virty [35]
3 years ago
13

Can someone help me on this mess...

Mathematics
2 answers:
serg [7]3 years ago
5 0

Answer:

sas

Step-by-step explanation:

lord [1]3 years ago
3 0

Answer:

one attachment ex picture

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roger has a nail that is 12 centimeters long. he measures and records the length of the nail as 15 centimeters. what is the % er
Marianna [84]
15-12=3. 3/12=1/4=25% error
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3 years ago
To keep up with rising expenses, a motel manager
Tema [17]
<span>22% of $40 is $8.80 so the now rate should be $40.00+$8.80=$48.80</span>
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Let f(x)=cos(arctanx). What is the range of f?
Alenkasestr [34]
-π/2 < arctan(x) < π/2

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4 0
3 years ago
F = 0.272727...<br>100f = (100)(0.272727...)<br>100f = ?​
koban [17]

Answer:

<h2>100f = 27.272727...</h2>

Step-by-step explanation:

f = 0.272727...

100f = (100)(0.272727...)

100f = 27.272727...

6 0
3 years ago
A company surveyed 2400 men where 1248 of the men identified themselves as the primary grocery shopper in their household. ​a) E
polet [3.4K]

Answer:

a) With a confidence level of 98%, the percentage of all males who identify themselves as the primary grocery shopper are between 0.4962 and 0.5438.

b) The lower limit of the confidence interval is higher that 0.43, so if he conduct a hypothesis test, he will find that the data shows evidence to said that the fraction is higher than 43%.

c) \alpha =1-0.98=0.02

Step-by-step explanation:

If np' and n(1-p') are higher than 5, a confidence interval for the proportion is calculated as:

p'-z_{\alpha/2}\sqrt{\frac{p'(1-p')}{n} }\leq  p\leq p'+z_{\alpha/2}\sqrt{\frac{p'(1-p')}{n} }

Where p' is the proportion of the sample, n is the size of the sample, p is the proportion of the population and z_{\alpha/2} is the z-value that let a probability of \alpha/2 on the right tail.

Then, a 98% confidence interval for the percentage of all males who identify themselves as the primary grocery shopper can be calculated replacing p' by 0.52, n by 2400, \alpha by 0.02 and z_{\alpha/2} by 2.33

Where p' and \alpha are calculated as:

p' = \frac{1248}{2400}=0.52\\\alpha =1-0.98=0.02

So, replacing the values we get:

0.52-2.33\sqrt{\frac{0.52(1-0.52)}{2400} }\leq  p\leq 0.52+2.33\sqrt{\frac{0.52(1-0.52)}{2400} }\\0.52-0.0238\leq p\leq 0.52+0.0238\\0.4962\leq p\leq 0.5438

With a confidence level of 98%, the percentage of all males who identify themselves as the primary grocery shopper are between 0.4962 and 0.5438.

The lower limit of the confidence interval is higher that 0.43, so if he conduct a hypothesis test, he will find that the data shows evidence to said that the fraction is higher than 43%.

Finally, the level of significance is the probability to reject the null hypothesis given that the null hypothesis is true. It is also the complement of the level of confidence. So, if we create a 98% confidence interval, the level of confidence 1-\alpha is equal to 98%

It means the the level of significance \alpha is:

\alpha =1-0.98=0.02

4 0
3 years ago
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