Pre-Calc: Perform the operation and write the result in standard form. (Simplify completely)

Answer:

15 I just stared so I am bad but I think I am correct

Answer:

x=250

Step-by-step explanation:

The difference lies in the comparison made: critical values in the z-test using rejection region(s) and the P-value in the z-test using a P-value. The choice between the two approaches depends on the nature of the population and the specific hypothesis being tested.

The correct answer is (d): In the z-test using rejection region(s), the test statistic is compared with critical values. The z-test using a P-value compares the P-value with the level of significance alpha.

The z-test is a statistical test used to assess whether a sample mean or proportion significantly differs from a hypothesized population mean or proportion. The difference between the z-test for mu (population mean) using rejection region(s) and the z-test for p (population proportion) using a P-value lies in the approach used to make the inference.

In the z-test using rejection region(s), the test statistic (calculated from the sample) is compared with critical values based on the chosen level of significance alpha. The critical values are determined from the standard normal distribution or a z-table, and if the test statistic falls within the rejection region (beyond the critical values), the null hypothesis is rejected.

On the other hand, in the z-test for p using a P-value, the test statistic is compared with the P-value. The P-value represents the probability of observing a test statistic as extreme or more extreme than the one obtained, assuming the null hypothesis is true. If the P-value is smaller than the chosen level of significance alpha, the null hypothesis is rejected.

Therefore, the difference lies in the comparison made: critical values in the z-test using rejection region(s) and the P-value in the z-test using a P-value. The choice between the two approaches depends on the nature of the population and the specific hypothesis being tested.

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The life length in hours is exceeded by 95/5% of the light bulbs is 1329 hours.

To find the life length in hours that is exceeded by 95% of the light bulbs, we need to determine the corresponding z-score for the 95th percentile and use it to calculate the value.

Since the distribution is assumed to be normal, we can use the standard normal distribution (z-distribution) to find the z-score. The z-score represents the number of standard deviations an observation is above or below the mean.

To find the z-score corresponding to the 95th percentile, we look for the z-value that corresponds to a cumulative probability of 0.95. This value can be obtained from standard normal distribution tables or using a statistical software/tool.

For a cumulative probability of 0.95, the corresponding z-score is approximately 1.645.

Once we have the z-score, we can calculate the exceeded life length as follows:

Exceeded life length = Mean + (Z-score * Standard deviation)

Exceeded life length = 1000 + (1.645 * 200)

Exceeded life length ≈ 1000 + 329

Exceeded life length ≈ 1329 hours

Therefore, approximately 95% of the light bulbs will have a life length that exceeds 1329 hours.

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Answer:

Exact Form:

45/11

Decimal Form:

4.09 repeated

Mixed Number Form:

4 1/11

Step-by-step explanation:

Answer:

30 + 15d = 105, I think

Step-by-step explanation:

Marshall is wondering whether he can participate in the LLP again next year. The statement that is true is "He can participate in the LLP again, but only to the extent that his existing LLP balance is less than $20,000.

The Lifelong Learning Plan is a program that helps Canadian residents finance their post-secondary education through their registered retirement savings plans (RRSP). If an individual is attending school full-time, they can withdraw up to $10,000 a year from their RRSP under the program, or up to $20,000 in total. There are certain rules that must be followed by an individual participating in the LLP. For example, withdrawals must be made within four years of enrolling in an eligible educational program, and repayments must begin within the same period.

Here are the statements: Provided he repays his LLP balance in full by the end of this year, Marshall can participate in the LLP again next year.Marshall can only participate in the LLP once over his lifetime. However, his wife can make a LLP withdrawal from her RRSP on his behalf. He can participate in the LLP again, but only to the extent that his existing LLP balance is less than $20,000. He can only participate in the LLP a second time if he repays his LLP balance in full and waits 5 years before he returns to school.The correct statement is: He can participate in the LLP again, but only to the extent that his existing LLP balance is less than $20,000.

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These are the computed values of beta and p-value for the given alternative value p = 0.21 and sample sizes.

To compute the beta (β) for the given alternative value p = 0.21 and sample sizes n = 81, 900, 14,400, 40,000, and 90,000, we need to determine the probability of Type II error. Beta is the probability of failing to reject the null hypothesis (H₀) when the alternative hypothesis (Hₐ) is true.

To calculate beta, we need to find the corresponding z-value for the given significance level α = 0.01, which corresponds to a z-value of 2.33 (approximate value).

Using the formula for the standard deviation of the sample proportion:

σ = sqrt((p₀ * (1 - p₀)) / n)

where p₀ is the null hypothesis value, p = 0.2, and n is the sample size.

Then we can calculate the z-score for the alternative value p = 0.21 using the formula:

z = (p - p₀) / σ

Finally, we can compute beta using the standard normal distribution table or a statistical calculator.

Let's calculate beta for the given sample sizes:

For n = 81:

σ = sqrt((0.2 * (1 - 0.2)) / 81) ≈ 0.0447

z = (0.21 - 0.2) / 0.0447 ≈ 0.2494

beta = P(Z > 0.2494) ≈ 0.4013

For n = 900:

σ = sqrt((0.2 * (1 - 0.2)) / 900) ≈ 0.0143

z = (0.21 - 0.2) / 0.0143 ≈ 0.7692

beta = P(Z > 0.7692) ≈ 0.2206

For n = 14,400:

σ = sqrt((0.2 * (1 - 0.2)) / 14,400) ≈ 0.0071

z = (0.21 - 0.2) / 0.0071 ≈ 1.5493

beta = P(Z > 1.5493) ≈ 0.0606

For n = 40,000:

σ = sqrt((0.2 * (1 - 0.2)) / 40,000) ≈ 0.0050

z = (0.21 - 0.2) / 0.0050 ≈ 2.2000

beta = P(Z > 2.2000) ≈ 0.0139

For n = 90,000:

σ = sqrt((0.2 * (1 - 0.2)) / 90,000) ≈ 0.0033

z = (0.21 - 0.2) / 0.0033 ≈ 3.0303

beta = P(Z > 3.0303) ≈ 0.0012

Next, let's calculate the p-value for the alternative value P = 0.21 and sample sizes n = 81, 900, 14,400, and 40,000.

The z-score for the given P can be calculated using the formula:

z = (P - p₀) / σ

Using the standard normal distribution table or a statistical calculator, we can find the area under the curve beyond the calculated z-score to obtain the p-value.

For n = 81:

σ = sqrt((0.2 * (1 - 0.2)) / 81) ≈ 0.0447

z = (0.21 - 0.2) / 0.0447 ≈ 0.2494

p-value = P(Z > 0.2494) ≈ 0.4013

For n = 900:

σ = sqrt((0.2 * (1 - 0.2)) / 900) ≈ 0.0143

z = (0.21 - 0.2) / 0.0143 ≈ 0.7692

p-value = P(Z > 0.7692) ≈ 0.2206

For n = 14,400:

σ = sqrt((0.2 * (1 - 0.2)) / 14,400) ≈ 0.0071

z = (0.21 - 0.2) / 0.0071 ≈ 1.5493

p-value = P(Z > 1.5493) ≈ 0.0606

For n = 40,000:

σ = sqrt((0.2 * (1 - 0.2)) / 40,000) ≈ 0.0050

z = (0.21 - 0.2) / 0.0050 ≈ 2.2000

p-value = P(Z > 2.2000) ≈ 0.0139

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Answer: In order to solve this problem, you should use the Pythagorean theorem. Since FG is perpendicular to OP, and OP and OQ are radii of the same circle, then triangle OFG is a right triangle. Similarly, triangle ORS is also a right triangle. By using the Pythagorean theorem, you can find that:

OF = sqrt(OP^2 + FG^2) = sqrt(19^2 + 40^2) = sqrt(361 + 1600) = sqrt(1961)

and

OS = sqrt(OQ^2 + RS^2) = sqrt(19^2 + 37^2) = sqrt(361 + 1369) = sqrt(1740)

Therefore, the length of the segment connecting the feet of the altitudes is:

OF + OS = sqrt(1961) + sqrt(1740) = 27.2

So the answer is A. 27.2

Step-by-step explanation:

Answer:

shade all of the squares with two capital Ns (NN) red. Shade all the squares with one capital N and one Lowercase n with green. Leave the rest (nn) unshaded.

Step-by-step explanation:

we have that

the area of the shaded region is equal to the area of rectangle minus the area of the circle

step 1

Find the area of the circle

A=pi(r^2)

we have

r=4 units

substitute

A=pi(4^2)

A=16pi unit2

step 2

Find the area of rectangle

A=b*h

we have

h=2(4)=8 units

b=9+4=13 units

substitute

A=13(8)

A=104 unit2

therefore

the area of the shaded region is

The amount Mariano must make from his job is

$2,500 ($12,500 * 0.2) =  $2500.

A number can be divided by five or multiplied by 0.2 to determine 20% of that amount.

Mariano, for instance, would have to pay $12,500 ($15,000 - $800 - $1,700)

if he had to pay $15,000 for a year of classes at the University of Texas at Brownsville but had also been awarded a grant for $800 and a scholarship for $1,700.

We can divide $12,500 by 5 or multiply it by 0.2 to calculate how much he must make from his employment to cover 20% of the remaining expenses.

The amount Mariano must make from his job is

$2,500 ($12,500 * 0.2) =  $2500.

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The likelihood that a correlation exists in a population, based on knowledge of the actual value of r in a sample from that population is the statistical significance

Answer:

look at explanation k=3

Step-by-step explanation:

5×3=15 15-5=10 10+6=16

While a common rule of thumb is to have a minimum sample size of 100 for continuous data to be statistically significant, the actual appropriate sample size may vary depending on the specific study design and research question. Option(D)

In statistics, the term "statistical significance" refers to whether an observed effect or relationship in the data is likely to be real and not just due to random chance. To determine statistical significance, we often perform hypothesis testing.

The sample size is a crucial factor in hypothesis testing. A larger sample size generally provides more reliable and precise estimates of population parameters and increases the statistical power of the test. With a larger sample size, even smaller effects or differences between groups can become statistically significant.

While there is no hard and fast rule for the minimum sample size to achieve statistical significance, a common guideline is to aim for at least 30 samples. This guideline is often used in the context of the Central Limit Theorem, which states that the sampling distribution of the sample mean becomes approximately normally distributed with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size.

In practice, the appropriate sample size depends on various factors, including the nature of the data, the effect size being studied, the desired level of confidence, and the statistical test used. Researchers often conduct sample size calculations based on these factors before conducting their studies to ensure they have an adequate sample size to achieve meaningful results and detect significant effects if they exist.

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The probability that all 5 customers order pepperoni pizza is 0.2457 and the probability that at least 1 customer doesn't order pepperoni pizza is 0.7543.

We can calculate the probability that all 5 customers order pepperoni pizza by multiplying the probability that each individual customer orders pepperoni pizza.

The probability of each customer ordering pepperoni pizza is 72%. Therefore, the probability that all 5 customers order pepperoni pizza is (0.72)^5 = 0.2457.

We can calculate the probability that at least 1 customer doesn't order pepperoni pizza by subtracting the probability that all 5 customers order a pepperoni pizza from 1.

Hence, The probability that at least 1 customer doesn't order pepperoni pizza is 1 - 0.2457 = 0.7543.

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Thhe area under the graph of f(x) = 1 / x² + 2 over the interval [0, 5] using four approximating rectangles and right endpoints to be approximately 0.965.

The formula for the right endpoint rule is:

Δx[f(x1) + f(x2) + ... + f(xn)]

Using n = 4, Δx = (5 - 0) / 4 = 1.25, we have:

x1 = 1.25, x2 = 2.5, x3 = 3.75, x4 = 5

Then, we can evaluate the function at the right endpoints:

f(x1) = f(1.25) = 0.472

f(x2) = f(2.5) = 0.16

f(x3) = f(3.75) = 0.091

f(x4) = f(5) = 0.064

Now we can plug these values into the formula for the right endpoint rule:

Δx[f(x1) + f(x2) + f(x3) + f(x4)] = 1.25[0.472 + 0.16 + 0.091 + 0.064] ≈ 0.965

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Answer: The answer is 1 =n and my work is in the bottom and hope this help :)

Step-by-step explanation:

5n+7=7(n+l)-2n distributive property

5n+7=7n+7-2n  Combines Like Term

5n+7= 12n  subtract 5n to both side

-5n      -5n

    7 = 7n   divide 7n to both side

     7    7

        1=n

Upon calculating the sum up to the appropriate term, we find that the sum is approximately 0.0713. So, the correct answer is a. 0.0713

It seems like there is a typo in the series notation. I assume the series you are referring to is ∑(2(-1)^n-1)/(12n^2 + 1) from n=1 to infinity. In this case, we can determine the sum using a well-known function and round the answer to four decimal places. Since the given series is an alternating series, we can use the Alternating Series Estimation Theorem to determine an approximation for the sum. The theorem states that if the absolute difference between consecutive terms is decreasing and the limit of the terms as n approaches infinity is zero, the approximation for the sum is accurate up to the first term that is less than or equal to the desired error bound (in this case, 0.0001). For this series, we can see that the absolute difference between consecutive terms decreases as n increases and the limit as n approaches infinity is zero. So, we can find the smallest value of n for which the term is less than or equal to 0.0001 and calculate the sum up to that term.

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Im pretty sure its $32.4

Step-by-step explanation:

The expression that represents the perimeter of the triangle is 13a + 5c + 2b + 46 centimeters.

So, the expression for the perimeter of the triangle is:

(7a + 2b) + (6a + 3c) + (3c + 46)

Simplifying and combining like terms, we get:

13a + 5c + 2b + 46

Rational functions can also have holes in their graphs, which  do when a factor in the numerator and denominator cancel out.

For  illustration, the function

\(h( x) = ( x2- 4)/(x^{2} )( x- 2)\)has a hole at x =  2,

where the factor ( x- 2) cancels out in the numerator and denominator.  

Graphing rational functions can be tricky, but it helps to identify the  perpendicular and vertical asymptotes, any holes in the graph, and the  of the function near these points.

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Answer:

x<13

Step-by-step explanation:

x < 13 is the solution of the inequality; 6x + 11 > 7x - 2

A relationship between two expressions or values that are not equal to each other is called 'inequality'.

Given that, an inequality 6x + 11 > 7x - 2

On solving for x, we get,

6x + 11 > 7x - 2

6x + 11 +2 > 7x

13 > x

x < 13

Hence, x < 13 is the solution of the inequality; 6x + 11 > 7x - 2

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Answer:multiplication between probability density values (Y-axis) and tips amount (X-axis)

Step-by-step explanation:

Answer:

13.3

Step-by-step explanation:

The triangles are similar so we can use ratios to solve

AM             AN

---------- = ------------

AM+AB          AC

6             8

---------- = ------------

6+4          AC

Using cross products

6AC = 8 * 10

6AC = 80

Divide by 6

AC = 80/6

AC =13 1/3

AC = 13.33333

Answer:

11

Step-by-step explanation:

add

Answer:

Step-by-step explanation:

7 / 15 ≈ 0.47Explanation:1) Probability = number of positive outcomes / number of possible outcomes2) Positive outcomesMultiples of 5: 5, 10, and 15Multiples of 3: 3, 6, 9, 12, 15.Different outcomes (cancel the repetitions): 3, 5, 6, 9, 10, 12, and 15.Number of different positive outcomes: 73) Number of possible outomes: 154)

 Probability = 7 / 15 ≈ 0.47

The numerator of the rational expression a/b + 2/b = ?/b is

(2 + a)

The numerator is solved by adding the fractions together

since the denominator is same, and in this case we have b, then the addition is easier.

The given expression is added below

= a/b + 2/b

= (a + 2) / b

hence ? = (a + 2)

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Answer:

a

Step-by-step explanation:

Answer:

A and D

Step-by-step explanation:

I'm not sure but I think that's what it is sorry if I'm wrong