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NNADVOKAT [17]
3 years ago
14

Solve. -2 1/3 - (-5) = ?

Mathematics
2 answers:
Anika [276]3 years ago
6 0

Answer:

8/3

Step-by-step explanation:

lianna [129]3 years ago
4 0
It is 2.66... but when u round you’ll get 2.7
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5. What is the simplest way to write
inysia [295]

Answer:

2m+3r-2x-2y

Step-by-step explanation:

2m+3r=2m+3r

-2×x=-2x

-2×y=-2y

answer=2m+3r-2x-2y

6 0
3 years ago
A school playground is in the shape of a rectangle 500 feet long and 400 feet wide. If fencing costs $12 per​ yard, what will it
sergiy2304 [10]

the answer is 3600 dollars

6 0
2 years ago
You collect the following data for explanatory variable A and response variable B:
wolverine [178]

Answer:

v

Step-by-step explanation:

5 0
3 years ago
A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the
a_sh-v [17]

Answer:

Probability that the sample proportion will be less than 0.03 is 0.10204.

Step-by-step explanation:

We are given that a courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the true proportion is 0.04.

Also, 469 are sampled.

<em>Let </em>\hat p<em> = sample proportion</em>

The z-score probability distribution for sample proportion is given by;

              Z = \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion

           p = true proportion = 0.04

           n = sample size = 469

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample proportion will be less than 0.03 is given by = P( \hat p < 0.03)

       P( \hat p < 0.03) = P( \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < \frac{0.03-0.04}{\sqrt{\frac{0.03(1-0.03)}{469} } } ) = P(Z < -1.27) = 1 - P(Z \leq 1.27)

                                                                      = 1 - 0.89796 = 0.10204

Now, in the z table the P(Z \leq x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.27 in the z table which has an area of 0.89796.

Therefore, probability that the sample proportion will be less than 0.03 is 0.10204.

5 0
3 years ago
Fred runs 4 laps around a track in 6 minutes. How many minutes per lap is that? How many laps per minute?
denis-greek [22]

Answer:

0.67 Laps per minute

Step-by-step explanation:

4 Laps over 6 Minutes

4/6 = 0.67

8 0
3 years ago
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