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STatiana [176]
3 years ago
11

Will give brainiest help

Mathematics
2 answers:
Natali [406]3 years ago
5 0

Answer:

See below

Step-by-step explanation:

  • <em>Proportional relationship formula:</em>
  • <em>y = kx</em>

<u>As per given we have:</u>

Salesman A

  • p(s) = 65s  (p = $1300 maximum)
  • This is a proportional relationship,  $65 per each sale. But this is restricted to 20 sales.
  • Answer is yes (ignoring the restriction)

Salesman B

  • p(s) = 40s + 300
  • This is a linear but not proportional relationship
  • Answer is no

Salesman C

  • p(s) = 900
  • There is no relationship between sales number and weekly earning as it is a fixed salary
  • Answer is no

STatiana [176]3 years ago
4 0

AnswerSUCK POOP EJEEH HEEH C;

Step-by-step explanation:

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Plz help me with this binary division whith full process/explanation 1001010 ÷ 101​
aivan3 [116]

Answer:

Step-by-step explanation:

Its like doing a long division with base 10 numbers:

           1110    <----------- Quotient

101)1001010

        101

         1000

            101

               111

                101

                  100

So the answer is 1110 remainder 100.

We can confirm this by converting to decimal numbers

1001010 = 74 and 101 = 5.

74 / 5 = 14 remainder 4.

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A local company is concerned about the number of days missed by its employees due to ill ness. A Random Sample of 10 employees i
sukhopar [10]

Answer:

The incentive program does not cuts down on the number of days missed by employees.

Step-by-step explanation:

The dependent t-test (also known as the paired t-test or paired samples t-test) compares the two means associated groups to conclude if there is a statistically significant difference amid these two means.

A paired <em>t</em>-test would be used to determine whether the incentive program cuts down on the number of days missed by employees.

The hypothesis for the test can be defined as follows:

<em>H₀</em>: The incentive program does not cuts down on the number of days missed by employees, i.e. <em>d</em> ≥ 0.

<em>Hₐ</em>: The incentive program cuts down on the number of days missed by employees, i.e. <em>d</em> < 0.

From the information provided the data computed is as follows:

 n=10\\\bar d=-1.1\\SD_{d}=2.99

Compute the test statistic value as follows:

 t=\frac{\bar d}{SD_{d}/\sqrt{n}}

   =\frac{-1.1}{2.99/\sqrt{10}}\\\\=-1.16

The test statistic value is -1.16.

Decision rule:

If the p-value of the test is less than the significance level then the null hypothesis will be rejected and vice-versa.

Compute the p-value of the test as follows:

p-value=P(t_{n-1}

*Use a t-table.

The p-value of the test is 0.1379.

The p-value of the test is very large for all the commonly used significance level. The null hypothesis will not be rejected.

Thus, there is not enough evidence to support the claim.

Conclusion:

The incentive program does not cuts down on the number of days missed by employees

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Answer:

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