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GuDViN [60]
2 years ago
7

Please help me please i really need help

Mathematics
2 answers:
REY [17]2 years ago
8 0

Answer:Multiply by 5

Step-by-step explanation:It's really self explanatory, multiply all inputs by 5 and you should get the output

Debora [2.8K]2 years ago
4 0

Answer:

D

Step-by-step explanation:

multiple by

2*5= 10......

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Which of the following setups, when solved, would give you the number of seconds in one week?
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c) 1 week x 7 days/1 week x 24hr/1 day x 60min/1hr x 60s/1min =

If you solved it, you would get 604,800, which is correct.

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Identify the slope and y-intercept. y=−12x+7
Tatiana [17]

the slope is -12 because y=mx+b and m= slope

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WRITING TO EXPLAIN, HOW COULD YOU USE 5 X 6 =30 TO FIND THE PRODUCT <br> OF 6 X6 ?
Vikentia [17]
Using 5*6=30, you can add 6 to the 30, which equals 36.

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3 years ago
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Bo bought a few items for $93.84, not including tax. If the tax rate was 7%, what was the total cost of these items, including t
notsponge [240]

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Total cost is $100.41 ( $93.84 + $6.57)

Step-by-step explanation:

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Hope this helped!

4 0
3 years ago
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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
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