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Andre45 [30]
4 years ago
13

A programmer plans to develop a new software system. In planning for the operating system that he will​ use, he needs to estimat

e the percentage of computers that use a new operating system. How many computers must be surveyed in order to be 95​% confident that his estimate is in error by no more than three percentage points question mark?
​a. Assume that nothing is known about the percentage of computers with new operating systems. n=_______.(Round up to the nearest​ integer.)
b. Assume that a recent survey suggests that about 96​% of computers use a new operating system. n=_______.(Round up to the nearest​ integer.)
Mathematics
1 answer:
Contact [7]4 years ago
6 0

Answer:  a. n= 1068

b. n= 164

Step-by-step explanation:

The formula to find the sample size :

n=p(1-p)(\dfrac{z^{*}}{E})^2

, where p=prior population proportion , z* = critical z-value and E = Margin of error.

Here , let p=proportion of computers that use a new operating system.

Given : Confidence level = 95%

i.e. z* = 1.96  [by z-table]

Margin of error : E = 3% =0.03

a. If p is unknown , then we assume p=0.5

Then, n=(0.5)(1-0.5)(\dfrac{1.96}{0.03})^2=1067.11111\approx1068

i.e. n= 1068

b. p=0.96

Then, n=(0.96)(1-0.96)(\dfrac{1.96}{0.03})^2=163.908266667\approx164

i.e. n= 164.

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You replace, and you have an identical probability to draw an ace (you still have 4 favourable cases over 52 total cases).

Multiply the two probabilities to find the answer:

\dfrac{1}{13}\cdot\dfrac{1}{13}=\dfrac{1}{169}

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Answer:

C. a simple sentence

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3 years ago
Which graph represents the solution to the given system y=-x+2 y=1/2x+8 <br><br> help
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I believe it is the first picture because the equation goes with the line.

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7 0
3 years ago
A. Student GPAs: Bob’s z-score z = + 1.71 μ = 2.98 σ = 0.36 b. Weekly work hours: Sarah’s z-score z = + 1.18 μ = 21.6 σ = 7.1 c.
hjlf

Answer:

a) x = \mu +z*\sigma

And replacing we got:

x= 2.98 + 1.71*0.36 = 3.5956

b) x = \mu +z*\sigma

And replacing we got:

x= 21.6 + 1.18*7.1 = 29.978

c) x = \mu -z*\sigma

And replacing we got:

x= 150 - 1.35*40= 96

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable of interest for this case. We define the z score with the following formula:

z=\frac{x-\mu}{\sigma}

And for this case we know that z = 1.71, \mu = 2.98,\sigma = 0.36

If we solve for x from the z score formula we got:

x = \mu +z*\sigma

And replacing we got:

x= 2.98 + 1.71*0.36 = 3.5956

Part b

Let X the random variable of interest for this case. We define the z score with the following formula:

z=\frac{x-\mu}{\sigma}

And for this case we know that z = 1.18, \mu = 21.6,\sigma = 7.1

If we solve for x from the z score formula we got:

x = \mu +z*\sigma

And replacing we got:

x= 21.6 + 1.18*7.1 = 29.978

Part c

Let X the random variable of interest for this case. We define the z score with the following formula:

z=\frac{x-\mu}{\sigma}

And for this case we know that z = -1.35, \mu = 150,\sigma = 40

If we solve for x from the z score formula we got:

x = \mu -z*\sigma

And replacing we got:

x= 150 - 1.35*40= 96

5 0
3 years ago
Jen wants to buy a dress that originally had the price of $33, but now it is on sale 10% off. How much will Jen pay for the dres
Rudiy27
You multiply 33 by 0.9 because it's minus 10% (0.1) and the answer is $29.7
3 0
3 years ago
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