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Dmitry_Shevchenko [17]
3 years ago
14

Help Me Please I need to do this for school

Mathematics
2 answers:
NNADVOKAT [17]3 years ago
8 0

Answer:

3 hours

I hope its right

hodyreva [135]3 years ago
4 0

Answer:

He worked for 3 hours.

Step-by-step explanation:

you can solve this by muiltipling the amount of hours by the kilograms done in   an hour.

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Beth purchased 7 sandwiches and spent a total of $43.75. If each sandwich was the same price, what was the cost per sandwich?
Alexus [3.1K]

Answer:

6.25 dont fake ur grade plz

Step-by-step explanation:

6 0
3 years ago
Which of the following is not a method used to prove triangles congruent
RSB [31]
Your answer is D. SSA Postulate because it doesn't exist!
3 0
4 years ago
Circle O has a circumference of approximately 250 ft
Varvara68 [4.7K]

Answer:

80 feet

Step-by-step explanation:

c=d\pi

Substitute 250 in for circumference

250=\pid

Divide by \pi or 3.14

d=79.617...

So, the diameter is approximately 80 feet

Hope this helps! :)

8 0
3 years ago
Consider the following hypothesis test: H0: μ1 - μ2 = 0 Ha: μ1 - μ2 ≠ 0 There are two independent samples taken from the two pop
nlexa [21]

Answer:

The value of the test statistic is z = 1.78

Step-by-step explanation:

Before finding the test statistic, we need to understand the central limit theorem and subtraction of normal variables.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Subtraction between normal variables:

When two normal variables are subtracted, the mean is the difference of the means, while the standard deviation is the square root of the sum of the variances.

Sample 1:

\mu_1 = 110, s_1 = \frac{7.2}{\sqrt{81}} = 0.8

Sample 2:

\mu_2 = 108, s_2 = \frac{6.3}{\sqrt{64}} = 0.7875

The test statistic is:

z = \frac{X - \mu}{s}

In which X is the sample mean, \mu is the value tested at the null hypothesis, and s is the standard error.

0 is tested at the null hypothesis:

This means that \mu = 0

Distribution of the difference:

X = \mu_1 - \mu_2 = 110 - 108 = 2

s = \sqrt{s_1^2+s_2^2} = \sqrt{0.8^2+0.7875^2} = 1.1226

What is the value of the test statistic?

z = \frac{X - \mu}{s}

z = \frac{2 - 0}{1.1226}

z = 1.78

The value of the test statistic is z = 1.78

5 0
3 years ago
Log (5x) (x)= 7/2<br> ​
vagabundo [1.1K]

Answer:

x = \frac{\sqrt{70} }{10}, - \frac{\sqrt{70} }{10}

4 0
3 years ago
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