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4 years ago

6n>6 Solve for inequality

Mathematics

1 answer:

kirill [66]4 years ago

6 0

Answer:

n>1

Step-by-step explanation:

usually, you can solve an inequality as if it were a regular equation. Just be aware of the instances where the inequality flips.

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If Kaden has 12 balls and izaih has 8 and Kaden gives 8 balls to his new friends, how many balls do Kaden have left?

viktelen [127]

Kaden 12
izaih 8
kaden gives 8
12-8
answer 4

7 0

3 years ago

What is the slope of the line that passes through (3, 14) and (7, 9)?

konstantin123 [22]

Answer:

$m=\frac{-5}{4}$

General Formulas and Concepts:

Pre-Algebra

Order of Operations: BPEMDAS

Brackets
Parenthesis
Exponents
Multiplication
Division
Addition
Subtraction

Left to Right

Algebra I

Slope Formula: $m=\frac{y_2-y_1}{x_2-x_1}$

Step-by-step explanation:

Step 1: Define

Point (3, 14)

Point (7, 9)

Step 2: Find slope m

Substitute [Slope Formula]: $m=\frac{9-14}{7-3}$
Subtract: $m=\frac{-5}{4}$

7 0

3 years ago

Read 2 more answers

A boardwalk game of chance costs $1 to play. You have a 25% chance of winning $1 back, a 20% chance of winning $2

Law Incorporation [45]

Answer:

the answer is c

Step-by-step explanation:

7 0

2 years ago

Data on IQ for 33 first graders are given as follows: 82, 96, 99, 102, 103, 103, 106, 107, 108, 108, 108, 108, 109, 110, 110, 11

Dahasolnce [82]

Answer:

$\bar X = \frac{\sum_{i=1}^n x_i}{n}$

Where n represent the sample size, on this case n =33. If we use this formula we got:

$\bar X = 113.727$

And for this case we know that is the best estimator since is an unbiased estimator for the true population mean since we have this:

$E(\bar X) = E(\frac{\sum_{i=1}^n x_i}{n})= \frac{1}{n} \sum_{i=1}^n E(X_i) = \frac{n\mu}{n} = \mu$

Step-by-step explanation:

For this case we have the following values given:

82, 96, 99, 102, 103, 103, 106, 107, 108, 108, 108, 108, 109, 110, 110, 111, 113, 113, 113, 113, 115, 115, 118, 118, 119, 121, 122, 122, 127, 132, 136, 140, 146

And we want to estimate the mean value of IQ for the conceptual population.

For this case we can use as estimator for the population mean the sample mean. We know that the sample mean is given by this formula:

$\bar X = \frac{\sum_{i=1}^n x_i}{n}$

Where n represent the sample size, on this case n =33. If we use this formula we got:

$\bar X = 113.727$

And for this case we know that is the best estimator since is an unbiased estimator for the true population mean since we have this:

$E(\bar X) = E(\frac{\sum_{i=1}^n x_i}{n})= \frac{1}{n} \sum_{i=1}^n E(X_i) = \frac{n\mu}{n} = \mu$

5 0

3 years ago

Two fair number cubes are rolled. The table below shows the possible outcomes for each number cube and their sum.

Pie

Answer:

2 box probability=12/2

22/12 is answer

Step-by-step explanation:

Hope this helps!!

Hopefully, i am not late

7 0

3 years ago