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Ymorist [56]
2 years ago
8

The probability that Edward purchases a video game from a store is 0.67 (event A), and the probability that Greg purchases a vid

eo game from the store is 0.74 (event B). The probability that Edward purchases a video game (given that Greg has purchased a video game) is 0.67. Which statement is true?
A. Events A and B are independent because P(A|B) = P(A)
B. Events A and B are dependent because P(A|B) = P(A)
C. Events A and B are independent because P(A|B) = P(B)
D. Events A and B are dependent because P(A|B) P(A)
Mathematics
2 answers:
Stolb23 [73]2 years ago
8 0

Easy! The answer is B!

Afina-wow [57]2 years ago
6 0

Answer:

Option A is correct

because P(A/B) = P(A)

Step-by-step explanation:

Two events are independent if the occurrence one event does not depend on the other.

In Statistics, two events are independent if P(AB)= P(A)*P(B)

Here we are given P(A) = 0.67 and P(A/B) = 0.67

i.e. P(AB)/P(B) = 0.67

This implies P(AB) = P(A)*P(B)

Hence A and B are independent of each other.

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Which of the following describes point H? (-3, 3) (3, 3) (-3, -3) (3, -3)
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H (3,-3)

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A machine fills boxes weighing Y lb with X lb of salt, where X and Y are normal with mean 100 lb and 5 lb and standard deviation
Bas_tet [7]

Answer:

Option b. None is the correct option.

The Answer is 63%

Step-by-step explanation:

To solve for this question, we would be using the z score formula

The formula for calculating a z-score is given as:

z = (x-μ)/σ,

where

x is the raw score

μ is the population mean

σ is the population standard deviation.

We have boxes X and Y. So we will be combining both boxes

Mean of X = 100 lb

Mean of Y = 5 lb

Total mean = 100 + 5 = 105lb

Standard deviation for X = 1 lb

Standard deviation for Y = 0.5 lb

Remember Variance = Standard deviation ²

Variance for X = 1lb² = 1

Variance for Y = 0.5² = 0.25

Total variance = 1 + 0.25 = 1.25

Total standard deviation = √Total variance

= √1.25

Solving our question, we were asked to find the percent of filled boxes weighing between 104 lb and 106 lb are to be expected. Hence,

For 104lb

z = (x-μ)/σ,

z = 104 - 105 / √25

z = -0.89443

Using z score table ,

P( x = z)

P ( x = 104) = P( z = -0.89443) = 0.18555

For 1061b

z = (x-μ)/σ,

z = 106 - 105 / √25

z = 0.89443

Using z score table ,

P( x = z)

P ( x = 106) = P( z = 0.89443) = 0.81445

P(104 ≤ Z ≤ 106) = 0.81445 - 0.18555

= 0.6289

Converting to percentage, we have :

0.6289 × 100 = 62.89%

Approximately = 63 %

Therefore, the percent of filled boxes weighing between 104 lb and 106 lb that are to be expected is 63%

Since there is no 63% in the option, the correct answer is Option b. None.

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Mars2501 [29]
Okay, I just know the answer not the range:

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Step-by-step explanation:

Just did it

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