All categories

3 years ago

I NEED HELP WOTH THIS ONE ALSO I JAVE SOME OTHER TO!!

Mathematics

2 answers:

yarga [219]3 years ago

4 0

<h2>Answer:</h2>

City B is more predictable because there is less variability.

<h2>Step-by-step explanation:</h2>

Smaller variability= numbers closer together

When the numbers are closer together, the data is more consistent making it easier to predict.

Greater variability= numbers father apart

When the numbers are farther apart, the data is less consistent and very hard to predict.

<h2><u>Hope that helped! ;p</u></h2>

aliina [53]3 years ago

3 0

Answer:

I'm pretty sure City A can be more accurate because it has greater variation than City B.

Step-by-step explanation:

You might be interested in

What is the answer, please help!

algol [13]

I don’t see the answers on the screen

5 0

2 years ago

An item is regularly priced at $64. Amy bought it at a discount of 10% off the regular price.

DiKsa [7]

$57.60 is the correct answer

7 0

2 years ago

Ep video Solve the following inequality algebraically <br>5|10 + 2x| - 1 > 19

kherson [118]

Answer:

x>−3 or x<−7

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers

Kenny is 5 feet and 5 inches while lamar is 67 inches who is taller?

Nezavi [6.7K]

Kenny and Lamar are the same height.

67/12=5.58

7 0

3 years ago

Read 2 more answers

Molly and James tracked the average temperature in their city for the past 8 days. They recorded their temperature findings in t

marusya05 [52]

Answer:

4.25

Step-by-step explanation:

Here in this question, we want to calculate the mean absolute deviation of the data.

The first thing we will do here is to calculate the mean;

= (74 + 79 + 76 + 85 + 87 + 83 + 86 + 78)/8 = 81

Now, the next thing to do here is to calculate how far each of the values have deviated from the mean. This can be calculated by subtracting the mean from each individual value;

This is presented in the table on the attachment, please check attachment for this

Afterwards, we find the absolute value of all these subtractions then divide by 8 which is the number of values in the data.

Mean absolute deviation = Sum of all absolute deviations/number of values in dataset

5 0

2 years ago