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Aneli [31]
3 years ago
11

What are the advantages of using an algebraic expression to represent a pattern rule, compared with describing the pattern in wo

rds?
Mathematics
1 answer:
laila [671]3 years ago
4 0
Even if the pattern is only shown with 10 numbers you can solve to see what the 100th term would be with algebra
You might be interested in
In a completely randomized design involving four treatments, the following information is provided. Treatment 1 Treatment 2 Trea
NeTakaya

Answer:

Option (b) 36.7

Step-by-step explanation:

Data provided in the question:

                       Treatment 1     Treatment 2     Treatment 3      Treatment 4

Sample Size          50                   18                     10                          17

Sample Mean        32                   36                    42                         48

Now,

The overall mean is calculated as

= \frac{\sum_{i = 1}^{4} n_i X_i}{\sum_{i = 1}^{4} {n_i}}

Here, Xi = Sample mean

n = sample sizes

Thus,

Overall mean

= [ (50 × 32) + (18 × 36) + (10 × 42) + (17 × 48) ] ÷ [ 50 + 18 + 10 + 17 ]

= [ 1600 + 648 + 420 + 816 ]  ÷ 95

= 36.67 ≈ 36.7

hence,

Option (b) 36.7

7 0
3 years ago
15 POINTS AND BRAINLIEST!!!!
ycow [4]
Yup c the brainliest you say
7 0
3 years ago
At a hardware store, each wooden plank costs $3.57. How much do 12 planks cost? $
BigorU [14]

Answer:

42.84

Step-by-step explanation:

3.57*12=42.84

3 0
3 years ago
Marsha went out to dinner with four of her
Vanyuwa [196]

Answer:

$86

Step-by-step explanation:

You multiply 21.50 times 4

4 0
2 years ago
Read 2 more answers
. Use the statistical features of your calculator to find the mean and the standard deviation to the nearest tenth of a data set
uysha [10]

Answer:

Mean = 1.9

Standard deviation = 0.6

Step-by-step explanation:

The Mean is calculate by the formula:

Mean = \frac{\text{Sum of all the observation}}{\text{Total number of observation}}

⇒ Mean = \frac{24.9+24.7+24.7+23.4+27.9}{5} = 1.85

Thus Mean to the nearest tenth is 1.9

Standard Deviation is the square root of sum of square of the distance of observation from the mean.  

Standard deviation(\sigma) = \sqrt{\frac{1}{n}\sum_{i=1}^{n}{(x_{i}-\bar{x})^{2}} }

where, \bar{x} is mean of the distribution.

Putting all values in the formula, We get

Standard Deviation = 0.597 ≈ 0.6

6 0
3 years ago
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