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3 years ago

What is a SWOT analysis?

1 answer:

vladimir1956 [14]3 years ago

6 0

It’s a compilation of your company’s strengths, weaknesses, opportunities and threats. A primary objective is a SWOT analysis is to help organizations develop a full awareness of all the factors involved in making a business decision. (I learned this a few weeks ago, i hope i could help!!) ;)

You might be interested in

How do i solve this inequality? -2|3m|+3<-51

9966 [12]

Answer:

m >9 or m < -9

Step-by-step explanation:

-2|3m|+3<-51

Subtract 3 from each side

-2|3m|+3-3<-51-3

-2|3m|<-54

Divide each side by -2, remembering to flip the inequality

-2|3m|/ -2>-54/-2

|3m|> 27

To get rid of the absolute values, we separate into two inequalities, one as written and one negative, remembering to flip the inequality

3m >27 or 3m <-27

Divide by 3 on each side

3m/3 >27/3 or 3m/3 <-27/3

m >9 or m < -9

4 0

3 years ago

Four times a number, less 6 is 6

dsp73

Answer:

1.5

Step-by-step explanation:

6/4=1.5

1.5*4=6

hope this helps :3

if it did pls mark brainliest

6 0

3 years ago

Read 2 more answers

What the decimal of 7/9

Mashutka [201]

Divide 7 and 9

7/9 = 0.77 (repeating)

0.77 (repeating) rounded would be 0.78

0.78 is your answer

hope this helps

5 0

4 years ago

How many feet are in 154 centimeters

klio [65]

Step-by-step explanation:

154 centimeters =

5.05249344 feet (5 feet ⅝ inch)

4 0

3 years ago

Read 2 more answers

Suppose the daily customer volume at a call center has a normal distribution with mean 5,500 and standard deviation 1,000. What

lakkis [162]

Answer:

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean 5,500 and standard deviation 1,000.

This means that $\mu = 5500, \sigma = 1000$