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Elina [12.6K]
3 years ago
12

Help please!!!!!!!!!!!!!!

Mathematics
1 answer:
Brums [2.3K]3 years ago
3 0
21, 23, 25 so 21 is the smallest odd number :)
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A market research analyst claims that 32% of the people who visit the mall actually make a purchase. You think that less than 32
Rainbow [258]

Answer:

E. -1.48

Step-by-step explanation:

The test statistic is:

t = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the expected value, \sigma is the standard deviation and n is the size of the sample.

A market research analyst claims that 32% of the people who visit the mall actually make a purchase.

This means that:

\mu = 0.32

\sigma = \sqrt{0.32*0.68} = 0.4665

You stand by the exit door of the mall starting at noon and ask 82 people as they are leaving whether they bought anything. You find that only 20 people made a purchase.

This means that n = 82, X = \frac{20}{82} = 0.2439

The value of the test statistic is about:

t = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

t = \frac{0.2439 - 0.32}{\frac{0.4665}{\sqrt{82}}}

t = -1.48

So the correct answer is given by option E.

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3 years ago
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-Dominant- [34]

Answer:

I think its c but not really sure but ill calculate it if I ever had the chance

5 0
2 years ago
Write the subtraction expression as an equivalent addition expression and then evaluate it. 0−(−13)
BaLLatris [955]

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Step-by-step explanation:

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The events A and B are independent if the  probability that event A occurs does not affect the probability that event B occurs.
A and B are independent if the equation P(A∩B) = P(A) P(B) holds true.
P(A∩B) is the probability that both event A and B occur.
Conditional probability is the probability of an event given that some other event first occurs.
P(B|A)=P(A∩B)/P(A)
In the case where events<span> A and B are </span>independent<span> the </span>conditional probability<span> of </span>event<span> B given </span>event<span> A is simply the </span>probability<span> of </span>event<span> B, that is P(B).</span>
Statement 1:A and B are independent events because P(A∣B) = P(A) = 0.12. This is true.
Statement 2:<span>A and B are independent events because P(A∣B) = P(A) = 0.25.
This is true.
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This is true.
Statement 4:</span><span>A and B are not independent events because P(A∣B) = 0.375 and P(A) = 0.25
This is true.</span>
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3 years ago
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