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3 years ago

Conducting a survey best fits which step of the statistical process? (4 points)

Mathematics

2 answers:

jek_recluse [69]3 years ago

7 0

Answer:

B. Design and implement a plan that collects data.

Step-by-step explanation:

Cuz you're implementing the plan by gathering data

Hope this helps ^w^

storchak [24]3 years ago

6 0

B if my brain is correct

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Find the value of y/3 + 11 = y/2 - 3

stira [4]

Answer:

y= 84

Step-by-step explanation:

i used another site to answer this

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3 years ago

A) Using the equation for average rate above, determine the cheetah's Please me forte

pychu [463]

Answer The Mexican tribe where children of FOUR are fed mind-bending magic mushrooms by witchdoctors in 'surviving childhood' rituals

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3 years ago

What is the price of the items Nakita bought?

timurjin [86]

Answer:

B $10.45

Step-by-step explanation:

Fist you find how much the 2 boxes of cracker cost

$3.50 * 2 = $7

Then subtract the amount of 2 crackers by the $0.80 coupon

$7 - $0.80 = $6.20

Then add that amount to the cost of a jar of peanut butter

$6.20 + $4.85 = $11.05

Then add that about for with the amount of a package of juice boxes

$11.05 + $2.40 = $13.45

Then subtract the total amount to the $3.00 coupon

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B $10.45 is your answer

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3 years ago

What is the place value of 6 in the number 6,029?

Feliz [49]

Answer: 6 on the extreme left has the place value 6000; the next 6 has the value 600; the next, 60; and the last, 6. The numeral for every whole number stands for a sum. 364 = 3 Hundreds + 6 Tens + 4 Ones. Hope this helps!

Step-by-step explanation:

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3 years ago

Read 2 more answers

A diagnostic test for a disease is such that it (correctly) detects the disease in 90% of the individuals who actually have the

Ne4ueva [31]

Answer:

0.2177 = 21.77% conditional probability that she does, in fact, have the disease

Step-by-step explanation:

Conditional Probability

We use the conditional probability formula to solve this question. It is

$P(B|A) = \frac{P(A \cap B)}{P(A)}$

In which

P(B|A) is the probability of event B happening, given that A happened.

$P(A \cap B)$ is the probability of both A and B happening.

P(A) is the probability of A happening.

In this question:

Event A: Test positive

Event B: Has the disease

Probability of a positive test:

90% of 3%(has the disease).

1 - 0.9 = 0.1 = 10% of 97%(does not have the disease). So

$P(A) = 0.90*0.03 + 0.1*0.97 = 0.124$

Intersection of A and B:

Positive test and has the disease, so 90% of 3%

$P(A \cap B) = 0.9*0.03 = 0.027$

What is the conditional probability that she does, in fact, have the disease

$P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.027}{0.124} = 0.2177$

0.2177 = 21.77% conditional probability that she does, in fact, have the disease

3 0

3 years ago