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3 years ago

Develop a probability model for the spinner shown.

Mathematics

2 answers:

Naya [18.7K]3 years ago

5 0

Heres my example.
Olivia has 5 red marbles 2 green ones 3 orange 4 yellow and one pink. Which one is she most likely to get?

Tatiana [17]3 years ago

3 0

Answer:

Step-by-step explanation:

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Find the square roots of the following numbers. Give the steps correctly.

Novay_Z [31]

Answer:

the sqare root of 19.9 is 4.46094160464

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3 years ago

The construction cost for this road ha been estimated at $135 per linear foot. (1 mile = 5280 ft).

Mamont248 [21]

T. Pitagora twice => new street = 2 $\sqrt{20}$ = 8.94 miles;
135*8.94 = 1206.9$;

8 0

3 years ago

Please help!

Anvisha [2.4K]

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3 years ago

Lucas had a mix of red and purple jelly beans. There were 2 red jelly beans for every 3 purple jelly beans. If there are 40 jell

Alex73 [517]

Answer:

24 purple jelly beans

Step-by-step explanation:

We are told in the question that;

Lucas had a mix of red and purple jelly beans. There were 2 red jelly beans for every 3 purple jelly beans.

The results in a ratio

2:3

Where 2 represented red jelly beans

3 represented purple jelly beans

Total number of jelly beans = 40 jelly beans.

The number of purple jelly beans that we have =

3/( 2 + 3) × 40

= 3/5 × 40

= 3 × 8

= 24.

Hence, there are 24 purple jelly beans in the bag.

7 0

3 years ago

A new screening test for Lyme disease is developed for use in the general population. The sensitivity and specificity of the new

Anit [1.1K]

Answer:

predictive value of a positive test = 18.18%

predictive value of a negative test = 94.03%

Step-by-step explanation:

Sensitivity = 60% = 0.6

Specificity = 70% = 0.7

Let True Positive = TP

True Negative = TN

False Negative = FN

$Sensitivity = \frac{TP}{TP + FN} \\0.6 = \frac{TP}{TP + FN} \\0.6TP + 0.6FN = TP\\0.4TP = 0.6FN\\TP = 1.5 FN$

$Specificity = \frac{TN}{TN + FP} \\0.7 = \frac{TN}{TN + FP} \\0.7TN + 0.7FP = TN\\0.7FP = 0.3 TN\\TN = 7/3 FP$

Prevalence = 10% = 0.1

Three hundred people are screened, $T_{total} = 300$

Total number of people having the disease, $T_{disease} = ?$

$Prevalence = \frac{T_{disease} }{T_{total} } \\0.1 = \frac{T_{disease} }{300 }\\T_{disease} = 30$

$T_{disease} = TP + FN\\30 = TP + FN$

But TP = 1.5 FN

30 = 1.5 FN + FN

30 = 2.5 FN

FN = 30/2.5

FN = 12

TP = 1.5 FN = 1.5 * 12

TP = 18

$FP + TN = T_{total} - T_{disease} \\FP + TN = 300 - 30\\FP + TN = 270\\FP + \frac{7}{3} FP = 270\\\frac{10}{3} FP = 270\\FP = 27 * 3\\FP = 81$

81 + TN = 270

TN = 189

To calculate the Predictive value of positive test (PPT)

$PPT = \frac{TP}{TP + FP} * 100\\PPT = \frac{18}{18+81} * 100\\PPT = \frac{18}{99} * 100\\PPT = 18.18 \%$

To calculate the Predictive value of negative test (PNT)

$PPT = \frac{TN}{FN + TN} * 100\\PPT = \frac{189}{189+12} * 100\\PPT = \frac{189}{201} * 100\\PPT = 94.03 \%$

7 0

3 years ago

Develop a probability model for the spinner shown.​

Develop a probability model for the spinner shown.