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Bess [88]
3 years ago
11

Bob traveled 90 miles which was 83 1 3 % of his trip. a How long was the trip?

Mathematics
1 answer:
loris [4]3 years ago
5 0

Total journey of bob was 108 miles .

<u>Step-by-step explanation:</u>

Here we have , Bob traveled 90 miles which was 83 1 3 % of his trip. We need to find How long was the trip .Let's find out:

According to question , Bob has traveled a distance of :

⇒ Distance = 90miles

Which is 83\frac{1}{3}\% of his journey . So , Let total  miles be x , So we have following equation framed according to question as :

⇒ \frac{83\frac{1}{3} x}{100} =90

⇒ \frac{83\frac{1}{3} x}{100}(100) =90(100)

⇒ \frac{83(3)+1}{3} x=90(100)

⇒ \frac{250}{3} x=9000

⇒ x=9000(\frac{3}{250} )

⇒ x=108miles

Therefore , Total journey of bob was 108 miles .

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The Wall Street Journal reported that Walmart Stores Inc. is planning to lay off 2300 employees at its Sam's Club warehouse unit
Advocard [28]

Answer:

(a) The mean is 52 and the median is 55.

(b) The first quartile is 44 and the third quartile is 60.

(c) The value of range is 33 and the inter-quartile range is 16.

(d) The variance is 100.143 and the standard deviation is 10.01.

(e) There are no outliers in the data set.

(f) Yes

Step-by-step explanation:

The data provided is:

S = {55, 56, 44, 43, 44, 56, 60, 62, 57, 45, 36, 38, 50, 69, 65}

(a)

Compute the mean of the data as follows:

\bar x=\frac{1}{n}\sum x\\=\frac{1}{15}[55+ 56+ 44+ 43+ 44+ 56+ 60+ 62+ 57+ 45 +36 +38 +50 +69+ 65]\\=\frac{780}{15}\\=52

Thus, the mean is 52.

The median for odd set of values is the computed using the formula:

Median=(\frac{n+1}{2})^{th}\ obs.

Arrange the data set in ascending order as follows:

36, 38, 43, 44, 44, 45, 50, 55, 56, 56, 57, 60, 62, 65, 69

There are 15 values in the set.

Compute the median value as follows:

Median=(\frac{15+1}{2})^{th}\ obs.=(\frac{16}{2})^{th}\ obs.=8^{th}\ observation

The 8th observation is, 55.

Thus, the median is 55.

(b)

The first quartile is the middle value of the upper-half of the data set.

The upper-half of the data set is:

36, 38, 43, 44, 44, 45, 50

The middle value of the data set is 44.

Thus, the first quartile is 44.

The third quartile is the middle value of the lower-half of the data set.

The upper-half of the data set is:

56, 56, 57, 60, 62, 65, 69

The middle value of the data set is 60.

Thus, the third quartile is 60.

(c)

The range of a data set is the difference between the maximum and minimum value.

Maximum = 69

Minimum = 36

Compute the value of Range as follows:

Range =Maximum-Minimum\\=69-36\\=33

Thus, the value of range is 33.

The inter-quartile range is the difference between the first and third quartile value.

Compute the value of IQR as follows:

IQR=Q_{3}-Q_{1}\\=60-44\\=16

Thus, the inter-quartile range is 16.

(d)

Compute the variance of the data set as follows:

s^{2}=\frac{1}{n-1}\sum (x_{i}-\bar x)^{2}\\=\frac{1}{15-1}[(55-52)^{2}+(56-52)^{2}+...+(65-52)^{2}]\\=100.143

Thus, the variance is 100.143.

Compute the value of standard deviation as follows:

s=\sqrt{s^{2}}=\sqrt{100.143}=10.01

Thus, the standard deviation is 10.01.

(e)

An outlier is a data value that is different from the remaining values.

An outlier is a value that lies below 1.5 IQR of the first quartile or above 1.5 IQR of the third quartile.

Compute the value of Q₁ - 1.5 IQR as follows:

Q_{1}-1.5QR=44-1.5\times 16=20

Compute the value of Q₃ + 1.5 IQR as follows:

Q_{3}+1.5QR=60-1.5\times 16=80

The minimum value is 36 and the maximum is 69.

None of the values is less than 20 or more than 80.

Thus, there are no outliers in the data set.

(f)

Yes, the data provided indicates that the Walmart is meeting its goal for reducing the number of hourly employees

6 0
3 years ago
Could somebody help me with this please
alekssr [168]

Answer:

x = 19°

Step-by-step explanation:

.........................

Forgive me if wrong

7 0
3 years ago
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Find the LinReg line of best fit for this data set.
finlep [7]

The LinReg line of best fit for this data set is ŷ = -1.24X + 0.66

<h3>What is regression line?</h3>

A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable.

Given:

(−5, 6.3),

(−4, 5.6),

(−3, 4.8),

(−2, 3.1),

(−1, 2.5),

(0, 1.0),

(1, −1.4)

Sum of X = -14

Sum of Y = 21.9

Mean X = -2

Mean Y = 3.1286

Sum of squares (SSX) = 28

Sum of products (SP) = -34.6

Regression Equation,

ŷ = bX + a

b = SP/SSX = -34.6/28 = -1.23571

a = MY - bMX = 3.13 - (-1.24*-2) = 0.65714

ŷ = -1.23571X + 0.65714

ŷ = -1.24X + 0.66

Learn more about regression line here:

brainly.com/question/7656407

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3 0
2 years ago
Mr. Allen has 2 dogs, Spike and Fido. He takes both of them outside at 6:00 a.m. He takes Spike outside every 3 hours. He takes
san4es73 [151]

Answer:

3 pm

Step-by-step explanation:

Because 3x5 = 15 and 5x3=15 so it would be at 3 pm

8 0
3 years ago
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Is (1, 3) a solution to the system of inequalities below?
Oxana [17]
<h3>Substitute and Check:</h3>

y > 2x + 1 \\ 3 > 2(1) + 1 \\ 3 > 3 \\ false

<h3>We can stop here and conclude that ( 1 , 3 ) is not a solution to this system, since it does not even satisfy the first equation, but check for the other one just in case:</h3>

y <  - 3x \\ 3 <  - 3(1) \\3 <  - 3 \\ also \: false

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