A cell phone company tests 110 cell phones and finds that 4 of them have defects. Out of 550 cell phones, how many would you expect to have defects? A cell phone company tests 110 cell phones and finds that 4 of them have defects. Out of 550 cell phones, how many would you expect to have defects? A cell phone company tests 110 cell phones and finds that 4 of them have defects. Out of 550 cell phones, how many would you expect to have defects? Item 9 A cell phone company tests 110 cell phones and finds that 4 of them have defects. Out of 550 cell phones, how many would you expect to have defects?

You would expect 20 defective cell phones out of 550 cell phones.

Step-by-step explanation:

It is given that,

Therefore, it can be determined that 4 cell phones are defective for 110 cell phones tested.

Now, it was asked to find the number of cell phones that could be defective, if a total of 550 cell phones are tested.

To find the number of defective cell phones in 550 cell phones :

We know that, the rate of defective cell phones is 4 for 110.

Let us assume that, the number of defective cell phones be 'x' for 550.

To find x value :

Use the rate formula,

Rate = No.of defective cell phones / No.of cell phones tested

⇒ 4 / 110 = x / 550

Keep x alone on one side, and cross multiply 550 to the other side.

⇒ x = (550×4) / 110

⇒ x = 20 defectives

'x' is the number of defective cell phones in 550 cell phones tested.

Therefore, you would expect 20 defective cell phones out of 550 cell phones.

step-by-step explanation:

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step-by-step explanation:

7.   there are 10 data points in the set.   the middle point is between 5 and 6.   the middle point in the top half is 8   and the middle point in the bottom half is 3. to find the iqr , take point 8 and subtract point 3

mid term   point 8 = 100   point 3 = 88

iqr = 100-88 = 12

final   point 8 = 93   point 3 = 78

iqr = 93 - 78 = 15

the final has the greatest iqr

6.   b - there is a high data value that causes the data set to be asymmetrical for the males: the data for males are high and asymmetrical .   there is an outlier for the males that skews the data

5.   the   iqr is a better measure of spread for the movies and basketball games.   since the basketball game has an outlier, we do not want to use standard deviation for measurement.  

3.   the exam median is much higher than the class median.   the median line is farther to the right on the exams

2.   there is no way to tell what the means are from the box and whisker plots.