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azamat
3 years ago
13

PLEASEEE HELPPP!!!!! Select all that are equal to 6^4(6^-5)

Mathematics
2 answers:
alisha [4.7K]3 years ago
4 0

Answer:

6/5, 12/10, 18/15, 24/20, 30/25, 36/30, 42/35, 48/40, 54/45, 60/50, 66/55, 72/60, 78/65, 84/70, 90/75, 96/80, 102/85, 108/90, 114/95, 120/100,

Step-by-step explanation:

these are all evuvalent to taht fraction

joja [24]3 years ago
3 0

Answer:

1/6, 6⁻¹, 1/6¹

Step-by-step explanation:

First, evaluate 6⁴(6⁻⁵).

6⁴(6⁻⁵)

Evaluate 6⁴.

1296(6⁻⁵)

Evaluate 6⁻⁵.

1296(1/7776)

Multiply the values.

1/6

Now, evaluate all the terms and look for the values that equal 1/6.

1/6⁻¹

Evaluate 6⁻¹.

1/(1/6)

Divide.

6

1/6 is an answer because it matches the term and doesn't need simplifying.

6⁻¹

Evaluate 6⁻¹.

1/6

1/6¹

Evaluate 6¹.

1/6

1/-6 is not an answer since 1/-6 can be simplified to -(1/6).

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Write an equation that represents the line​
FinnZ [79.3K]

Answer:

5/6x + 3 = y

Step-by-step explanation:

The slope intercept form is:

mx + b = y

The slope is 5/6.

The y intercept is 3.

6 0
2 years ago
A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 111.4-cm and a standard dev
Kipish [7]

Answer:

P(111.2-cm < ¯ x < 111.4-cm) = 0.4726

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes 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.

In this problem, we have that:

\mu = 111.4, \sigma = 0.5, n = 23, s = \frac{0.5}{\sqrt{23}} = 0.1043

Find the probability that the average length of a randomly selected bundle of steel rods is between 111.2-cm and 111.4-cm.

This is the pvalue of Z when X = 111.4 subtracted by the pvalue of Z when X = 111.2. So

X = 111.4

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

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

Z = \frac{111.4 - 111.4}{0.1043}

Z = 0

Z = 0 has a pvalue of 0.5.

X = 111.2

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

Z = \frac{111.2 - 111.4}{0.1043}

Z = -1.92

Z = -1.92 has a pvalue of 0.0274.

0.5 - 0.0274 = 0.4726

P(111.2-cm < ¯ x < 111.4-cm) = 0.4726

5 0
3 years ago
2,4,8,16 recursive form
AVprozaik [17]

Question

2,4,8,16 recursive form

Answer:

The first term is 2, and each  term after that is twice the previous term, so the equations are:

a sub1  = 2

a sub n = 2a sub n-1, for n>1

8 0
3 years ago
Does anyone know how to do this??
saveliy_v [14]

Hey!

Answer: First way: x * 1.05

This computes directly what 105% of x will be.

Second way: x + (x * 0.05)

This takes x (which is 100%) and adds 5% of x to it.

Hope this helps!

~LENA~

8 0
3 years ago
Read 2 more answers
Dylan works out and burns 10 calories per minute swimming and 7 calories per minute biking. He wants to burn a minimum of 600 ca
Inessa [10]

Answer:

46,20

Step-by-step explanation:

5 0
4 years ago
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