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topjm [15]
3 years ago
5

X=12; f(x) = (1/2)x -20 = a.4 b.7 c.-14 d.-26

Mathematics
2 answers:
ycow [4]3 years ago
4 0
Evaluating the function will give you the answer of -14

your answer is C
raketka [301]3 years ago
3 0

Answer:

c

Step-by-step explanation:

that's the answer dudnjdkdkd

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Calculate the rounding error when 7.69 is rounded to 1 decimal place
navik [9.2K]
7.69 rounded to the nearest tenth is 7.7
5 0
3 years ago
The following table shows the salary of 7 people in an office last year.
Ede4ka [16]

Answer:

  1. Mean of worker's salary = £27,785.71 (Approx.)
  2. Mean of worker's salary[Excluding Deva's income] = £16,500 (Approx.)

Step-by-step explanation:

Given:

Total number of worker = 7

Find;

1] Mean of worker's salary

2] Mean of worker's salary[Excluding Deva's income]

Computation:

Mean = Sum of all observation / Total number of observation

1] Mean of worker's salary = [13,500 + 27,500 + 13,750 + 79,000 + 18,750 + 27,500 + 15,000] / 7

Mean of worker's salary = [194,500] / 7

Mean of worker's salary = £27,785.71 (Approx.)

2] Mean of worker's salary[Excluding Deva's income] = [13,500 + 27,500 + 13,750 + 18,750 + 27,500 + 15,000] / 6

Mean of worker's salary[Excluding Deva's income] = [115,500]/7

Mean of worker's salary[Excluding Deva's income] = £16,500 (Approx.)

3 0
3 years ago
One side of triangle is 2/8 cm. What is the perimeter
notka56 [123]
3/4 is the Perimeter
7 0
3 years ago
Read 2 more answers
Imagine we conduct a one-way independent ANOVA with four levels on our independent variable and obtain a significant result. Giv
fgiga [73]

Answer:

(C) Bonferroni

Explanation:

A Bonferroni test is a type of multiple comparison test used in statistical analysis. It is used when several dependent or independent statistical tests are being performed simultaneously.Bonferroni designed a test or an adjustment to prevent data from incorrectly appearing to be statistically significant.

It is used to counteract the problem of multiple Comparisons.

The Bonferroni correction is appropriate when a single false positive in a set of tests would be a problem. It is mainly useful when there are a fairly small number of multiple comparisons and you're looking for one or two that might be significant.

5 0
4 years ago
Please answer this correctly I want helping hand people to answer this correctly
crimeas [40]

Answer:

w = 36

Step-by-step explanation:

You can make a ratio 98 : 84 = 42 : w

\frac{49}{42}=\frac{42}{w}

49w = 1764

w = 36

3 0
4 years ago
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