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zimovet [89]
3 years ago
10

This is my question it is kind of confusing but can you guys help me solve it thanks.

Mathematics
1 answer:
Anna35 [415]3 years ago
5 0

Answer:

2.3h - 2.9d - 14

Step-by-step explanation:

6h - 3.7h - 7.9d + 5d - 14

= 2.3h - 2.9d - 14

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Solve<br> 3-**<br> The solution is k=
kiruha [24]

Answer: K= 8/3 or 2 2/3

Step-by-step explanation:

7 0
3 years ago
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Find the 9th term of the geometric sequence 5, -25, 125, ...
arlik [135]

Answer:

Step-by-step explanation:

a = 5

r = -5

n = 9

t_9 = a r^(n - 1)

t_9 = (-1)^n*5 (-5) ^ 8

t_9 = (-1)^9 *  5 *  (-5) ^8

t_9 = -1 ( 1953125)

t_9 = - 1953125

6 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
<img src="https://tex.z-dn.net/?f=%20%7C2v%7C%20%20%3D%2012" id="TexFormula1" title=" |2v| = 12" alt=" |2v| = 12" align="absmi
BlackZzzverrR [31]

Answer:

v=6

Step-by-step explanation:

2v is positive so keep it

then 2v=12

v=6

8 0
3 years ago
Read 2 more answers
Find the least number which must be added to 6203 to obtain a perfect square.
andrey2020 [161]

Answer:

79

Step-by-step explanation:

       78

         ---------

7 |       62 03 

          49

         ----------

148 |   13 03

          11 84

         -----------

            19

         -----------

78^2 = 6084.

We observe that 78^2 < 6203.

79^2 = 6241.

We observe that 79^2 > 6203.

Hence the number to be added to 6203 is 6241 - 6203 = 38.

6203 + 38 = 3241

                  = 79 * 79

                  = 79.

Therefore 38 should be added to 6203 to obtain a perfect square.

5 0
3 years ago
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