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Law Incorporation [45]
3 years ago
7

Expand and simplify 5(X-3)-2(2x+1)

Mathematics
1 answer:
madam [21]3 years ago
5 0
5x-15 -4x - 2 =  x - 17
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Is 7 equal, less than, or greater than 24/4?
mixas84 [53]
Greater than since 24/4 is 6
7 0
3 years ago
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According to company records, 128 of 460 employees purchase health insurance through the company. The chief human resources offi
Doss [256]

Answer:

\dfrac{128}{460}\times 100 \approx \bold{27.83\%}

Step-by-step explanation:

Given that:

Number of employees who purchased health insurance through the company = 128

Total number of employees = 460

To find:

Expression to find out the percentage of employees that purchase health insurance through the company ?

Solution:

Percentage of employees that purchase health insurance through the company:

\dfrac{\text{Number of employees that purchase health insurance through the company}}{\text{Total number of employees}}\times 100

= \dfrac{128}{460}\times 100 \approx \bold{27.83\%}

4 0
3 years ago
Please can someone help with this question. I don't understand
Umnica [9.8K]

Answer:

See below,please.

Step-by-step explanation:

Volume of water = meter reading (11) - meter reading (8)

=

= 4598 - 4559 = 39 {m}^{3}

7 0
3 years ago
Hypothesis Testing for Means with Small Samples
Scorpion4ik [409]

Answer:

Step-by-step explanation:

Hello!

The variable of interest is

X: volume of root beer in a Windsor Bottling Company can.

A sample of n=24 cans was taken and their contents measured, resulting:

X[bar]= 11.4 oz

S= 0.62 oz

Assuming that the variable has a normal distribution X~N(μ;σ²), the parameter of interest is the average contents of the root beer cans of the Windsor Bottling Company (μ)

The claim is that the population mean content of the cans is different from 12 oz, symbolically: μ ≠ 12

The statistical hypothesis (Null and alternative) have to be complementary, exhaustive and mutually exclusive. The null hypothesis is the "no change" hypothesis and always carries the "=" sign.

If the claim is μ ≠ 12, its complement is μ = 12, the expression carrying the "=" sign will be the null hypothesis and its complement will be the alternative hypothesis:

H₀: μ = 12

H₁: μ ≠ 12

α: 0.05

To test the population mean of this normal population, you have to apply a one sample t-test, with statistic:

t= \frac{X[bar]-Mu}{\frac{S}{\sqrt{n} } } ~t_{n-1}

t_{H_0}= \frac{11.4-12}{\frac{0.62}{\sqrt{24} } } = -4.74

This test is two-tailed, using the critical value approach, you have to determine two rejection regions. Meaning, you'll reject the null hypothesis to small values of the statistic or to high values of the statistic.

t_{n-1;\alpha /2}= t_{23;0.025}= -2.069

t_{n-1;1-\alpha /2}= t_{23;0.975}= 2.069

The decision rule is:

If t_{H_0} ≤ -2.069 or if t_{H_0} ≥ 2.069, then you reject the null hypothesis.

If -2.069 < t_{H_0} < 2.069, then you do not reject the null hypothesis.

The value is less than the left critical value, the decision is to reject the null hypothesis.

Then you can say that with a 5% significance level, there is significant evidence to reject the null hypothesis, then the average amount of root beer of the Windsor Bottling Company is different from 12 oz, this means that the claim about the amount of root beer in the cans is correct.

I hope it helps!

6 0
4 years ago
2. Please help me with this question will give BRAINLIST to best answer
Sloan [31]

Answer:

>

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
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