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Julli [10]
4 years ago
6

True or False: If the data for an observation on either the dependent variable or one of the independent variables are missing a

t random, then the size of the random sample available from the population must be reduced, which reduces the estimator's precision and introduces a bias.
Mathematics
1 answer:
Tatiana [17]4 years ago
5 0

Answer:

true

Step-by-step explanation:

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Vaness’s team won their softball game and scored sixty-three points total. If Vanessa scored fifteen of the points and everyone
Anika [276]
8. 63-15=48 48 divided by 6=6
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3 years ago
Can someone help me please
stellarik [79]

Answer:

does it tell you what x is equivalent to?

Step-by-step explanation:

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3 years ago
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Hi, can you help me to find (if passible) the complement andsupplement of the angle 3pi/ 4.
nika2105 [10]

Two angles are called complementary if their measures add to 90 degrees, and called supplementary if their measures add to 180 degrees.

In radians this are

\begin{gathered} \frac{\pi}{2}\text{ for }90\degree \\ \pi\text{ for }180\degree \end{gathered}

To find the complement of 3π/4, subtract it by π/2

\frac{\pi}{2}-\frac{3\pi}{4}=-\frac{\pi}{4}

To find the supplement of 3π/4, subtract it by π.

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6 0
1 year ago
122 - 4(6) +1<br> 112p hellllllp
Rasek [7]

Answer:

99

Step-by-step explanation:

U will do the one outside first

122+1-4(6)

=123-24

= 99

7 0
3 years ago
A publisher reports that 45% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is
nexus9112 [7]

Answer:

z=\frac{0.40 -0.45}{\sqrt{\frac{0.45(1-0.45)}{370}}}=-1.933  

p_v =2*P(z  

Step-by-step explanation:

Information given

n=370 represent the sample selected

\hat p=0.4 estimated proportion of  readers owned a laptop

p_o=0.45 is the value that we want to test

z would represent the statistic

p_v represent the p value

Creating the hypothesis

We need to conduct a hypothesis in order to test if the true proportion of readers owned a laptop is different from 0.45, the system of hypothesis are:  

Null hypothesis:p=0.45  

Alternative hypothesis:p \neq 0.45  

The statistic is:

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

Replacing we got:

z=\frac{0.40 -0.45}{\sqrt{\frac{0.45(1-0.45)}{370}}}=-1.933  

Calculating the p value  

We have a bilateral test so then the p value would be:

p_v =2*P(z  

8 0
3 years ago
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