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MakcuM [25]
2 years ago
6

Sameera predicted that she would sell 38 blankets, but she actually sold 28 blankets. Which expression would find the percent er

ror? Use the table below to help answer the question. Percent Error Item Approximate value Exact value Error Absolute error Ratio Percent error Blankets 38 28 10 10
Mathematics
2 answers:
antoniya [11.8K]2 years ago
8 0

Solution: We are given:

Predicted Sales by Sameera =38

Actual Sales by Sameera =28

Now to find the Percent error, we have to use the below formula:

Percent-Error= \frac{|Predicted-value - Actual-value|}{Actual-value} \times 100 \%

                       =\frac{|38-28|}{28} \times 100 \%

                       =\frac{10}{28}\times 100 \%

                       =35.71 \%

Therefore, the percent error is 35.71 \%      

oee [108]2 years ago
7 0

Answer:

c

Step-by-step explanation:

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Mrs. Smythe is twice as old as her daughter Samantha. Ten years ago the sum of their ages was 46 years. How old is Mrs. Smythe?
Fynjy0 [20]
Mrs. Smythe = x
Daughter = y

x = 2y
(x - 10) + (y - 10) = 46
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Put 2y in for x
2y + y = 66
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The daughter is 22
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7 0
2 years ago
In a network of 40 computers, 5 hold a copy of a particular file. Suppose that 7 computers at random fail. Let F denote the numb
anzhelika [568]

Answer:

a. E(F)=0.875

b. 99.9976%

c. P(X=2)=0.1683

Step-by-step explanation:

a. We notice that this is a binomial distribution with the probability of success;

p=\frac{5}{40}=0.125

#We are given the sample size, n=7. The Expected value is calculated as:

E(X)=np\\\\E(F)=np , n=7, p=0.125\\\\E(F)=7\times 0.125\\\\=0.875

Hence the expectation, E(F)=0.875

b. To calculate the probability of the range of F, we need to calculate all possible outcomes of F in the given sample;

P(X\leq 5)=1-P(X=6)-P(X=7)\\\\=1-{7\choose 6}(0.125)^6(1-0.125)^1-{7\choose 7}(0.125)^7(1-0.125)^0\\\\=1-0.000023365-0.000000476\\\\=0.999976158\\\\=99.9976\%

Hence, the range of F is 99.9976%

c. The probability that F=2 is calculated  using the binomial distribution function as:

P(X=2)={7\choose 2}(0.125)^2(1-0.125)^5\\\\=0.1683

Hence, the probability of F=2 is 0.1683

3 0
2 years ago
3.12 Speeding on the I-5, Part I. The distribution of passenger vehicle speeds traveling on the Interstate 5 Freeway (I-5) in Ca
marusya05 [52]

Answer:

a) 93.943% = 93.9%

b) 93.528% = 93.5%

c) Speed of the fastest 5% ≥ 80.5 miles/hour

d) 29.46% = 29.5%

Step-by-step explanation:

Mean, xbar = 72.6 miles/hour.

standard deviation, σ = 4.78 miles/hour

For each of the questions, we'll need to normalize the speeds.

a) The standardized score for 80 miles/hour is the value minus the mean then divided by the standard deviation.

z = (x - xbar)/σ = (80 - 72.6)/4.78 = 1.55

To determine the probability of a car having speed less than 80 miles/hour, P(x < 80) = P(z < 1.55)

We'll use data from the normal probability table for these probabilities

P(x < 80) = P(z < 1.55) = 1 - P(z ≥ 1.55) = 1 - P(z ≤ -1.55) = 1 - 0.06057 = 0.93943

b) percent of passenger vehicles travel between 60 and 80 miles/hour.

60 miles/hour standardized = (60 - 72.6)/4.78 = -2.64

We'll use data from the normal probability table for these probabilities

P(60 < x < 80) = P(-2.64 < z < 1.55) = P(z ≤ 1.55) - P(z ≤ -2.64) = 0.93943 - 0.00415 = 0.93528

c) How fast to do the fastest 5% of passenger vehicles travel?

We'll use data from the normal probability table for these probabilities

Top 5% corresponds to a z-score of 1.65. P(z ≥ 1.65) = 0.95053

1.65 = (x - 72.6)/4.78

x = 80.487 miles/hour = 80.5 miles/hour.

d) The speed limit on this stretch of the I-5 is 70 miles/hour. Approximate what percentage of the passenger vehicles travel above the speed limit on this stretch of the I-5.

70 miles/hour, standardized = (70 - 72.6)/4.78 = 0.54

P(x > 70) = P(z > 0.54) = 1 - P(z ≤ 0.54) = 1 - 0.7054 = 0.2946.

Hope this helps!!!!

6 0
2 years ago
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