ANSWER
No, because there is no common ratio
EXPLANATION
The given sequence is
-1, 1, 4, 8
If this sequence is geometric, then there should be a common ratio among the consecutive terms.
Hence the sequence
-1, 1, 4, 8
is not a geometric sequence.
Answer:
0.6%
Step-by-step explanation:
divide 3 by 500
get 0.006 and move decimal back 2 places to give the percent
Answer:
$30.00
Step-by-step explanation:
price of dress x 8% = $2.40
price of dress = 2.40/.08
price of dress = $30.00
Answer:
Model B has 6 shaded sections
Step-by-step explanation:
The question is not complete. The complete question should be in the form:
Victor has 2 fraction models. Each is divided into equal sized sections the models are shaded to represent the same fraction. Model A is divided into 6 sections and 3 sections are shaded. Model B is divided into 12 sections. What do you know about the number of sections shaded in Model B? Explain your answer.
Solution:
The fraction modeled by model A is given by the ratio of shaded sections to the total number of sections.
That is Fraction of model A = number of shaded sections / total number of sections.
Hence:
Fraction of model A = 3 / 6
Since model B and Model A are equivalent, the number of shaded sections in Model A is given by:
number of shaded sections in model B/ total number of sections in model B = Fraction of model A
number of shaded sections in model B / 12 = 3 / 6
number of shaded sections in model B = 12 * 3/6
number of shaded sections in model B = 6
Answer: Pr(test positive ) = 0.38.
Step-by-step explanation:
Since we have given that
Probability of getting a certain disease = 0.2
Probability of not getting a certain disease = 1-0.2 = 0.8
Probability that test turns a positive results for those with the disease = 90% = 0.90
Probability that turns a negative results for those without diseases = 75% = 0.75
Probability that turns a positive results for those without diseases = 1-0.75=0.25
So, Probability of test positive is given by
P(having diseases) . P(test positive) + P(not having diseases) . P(test positive)
Hence, Pr(test positive ) = 0.38.