Answer:
The exact answer is 659.1521

Answer:
30,321÷46=**659.152173913**

Determine the slope and y-intercept from the following equationy = (32) x + 3

Find the value of z such that 0.11 of the area lies to the right of z. Round your answer to two decimal places.

Find the value of X.

Convert each measure to the equivalent metric unit.8 cm = mm7 km = m18 g = kg43 kg = g234 L = mL1 346 mL = L0.81 km = cm0.05 dm = dam1.32 cg = kg3.7 mcg = mg

Roy wants to buy a new television for $300.

Find the value of z such that 0.11 of the area lies to the right of z. Round your answer to two decimal places.

Find the value of X.

Convert each measure to the equivalent metric unit.8 cm = mm7 km = m18 g = kg43 kg = g234 L = mL1 346 mL = L0.81 km = cm0.05 dm = dam1.32 cg = kg3.7 mcg = mg

Roy wants to buy a new television for $300.

a. If the sample variance is s^2=32 , are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with alpha=.05

b. If the sample variance is s^2=72 , are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with alpha=.05 ?

c. Comparing your answer for parts a and b, how does the variability of the scores in the sample influence the outcome of a hypothesis test?

A hypothesis test was conducted to evaluate the treatment's effect. For both variances, we failed to reject the null hypothesis, so we can't conclude that the treatment had a significant effect. The variability of scores plays a crucial role, as more variability makes it harder to identify a significant effect.

To determine if the treatment has a significant effect, we perform a **hypothesis test** using the **sample mean** (M), **sample variance** (s^2), and **population mean** (μ). The null hypothesis is that there's no effect from the treatment (μ=M), while the alternative hypothesis is that there is an effect (μ≠M).

a. For sample variance s^2=32, we can use the formula for the t score: t = (M - μ)/(s/√n) = (35 - 40)/(√32/√8) = -2.24. Based on a two-tailed t-distribution table, the critical t values for α=.05 and 7 degrees of freedom (n-1) are approximately -2.365 and 2.365. Our t value (-2.24) lies within this range, so we fail to reject the null hypothesis. We cannot conclude that the treatment has a significant effect.

b. Repeat the same process with sample variance s^2=72. The t value is now (35 - 40)/(√72/√8) = -1.48, again falling within the range of the critical t values. We can't conclude that the treatment has a significant effect.

c. As the variability (s^2) of the **sample scores** increases, it becomes more difficult to find a significant effect. Higher variability introduces more uncertainty, which can mask actual changes caused by the treatment.

#SPJ12

To evaluate the effect of a treatment using a **two-tailed **test with alpha = 0.05, we compare the calculated t-value to the critical t-value. The sample variance influences the outcome of the hypothesis test, with a larger variance leading to a wider critical region.

a. To test if the treatment has a significant effect, we will conduct a two-tailed hypothesis test using the t-distribution. The null hypothesis states that the treatment has no effect (μ = 40), while the alternative hypothesis states that the treatment has an effect (μ ≠ 40). With a **sample** size of 8, degrees of freedom (df) will be n-1 = 7. We will use the t-test formula to calculate the t-value, and compare it to the critical t-value from the t-table with α = 0.05/2 = 0.025. If the calculated t-value falls outside the critical region, we reject the null hypothesis and conclude that the treatment has a significant effect.

b. Similar to part a, we will conduct a two-tailed t-test using the same null and alternative hypotheses. With a sample size of 8, df = n-1 = 7. We will calculate the t-value using the sample mean, population mean, and sample variance. Comparing the calculated t-value to the critical t-value with α = 0.05/2 = 0.025, if the calculated t-value falls outside the critical region, we reject the null hypothesis and conclude that the treatment has a significant effect.

c. The variability of the scores in the sample, as indicated by the sample variance, influences the outcome of the hypothesis test. In both parts a and b, the sample variance is given. A larger sample variance (s^2 = 72 in part b) indicates more variability in the data, meaning the scores in the sample are more spread out. This leads to a larger t-value and a wider **critical** region. Therefore, it becomes easier to reject the null hypothesis and conclude that the treatment has a significant effect.

#SPJ11

**Answer:**

52 weeks

**Step-by-step explanation:**

The club starting with $270 (club 1) is increasing their bank balance each week by ...

... $280 -270 = $10

The club starting with $10 (club 2) is increasing their bank balance each week by ...

... $25 -10 = $15

Club 2 is gaining on Club 1 by $15 -10 = $5 each week. So, the initial difference of $270 -10 = $260 will be overcome in ...

... $260/($5/week) = **52 weeks**

_____

The same result is shown in the attached graph, which also shows that both clubs' bank balances will be $790 at that time.

**Answer:**

x=-14

**Step-by-step explanation:**

The 2 angles are opposite of each other. This means that they are vertical angles, are they are congruent.

Since they are congruent, we can set them equal to each and solve for x.

9x+184=7x+156

To solve the equation, we want to find out what x is. In order to do this, we have to get x by itself. Perform the opposite of what is being done to the equation. Keep in mind, everything done to one side, has to be done to the other.

First, subtract 7x from both sides.

9x-7x+184=7x-7x+156

9x-7x+184=156

2x+184=156

Next, subtract 184 from both sides.

2x+184-184=156-184

2x=156-184

2x=-28

Finally, divide both sides by 2.

2x/2= -28/2

x=-28/2

x= -14

The value of X is -14.

please see the attached picture for full solution

Hope it helps

Good luck on your assignment

!!Please help!!!

f(x) = (x² - 3x - 10)(x + 4) becomes (x - 5)(x + 2)(x + 4) when completely factored. Now set each binomial equal to zero.

x - 5 = 0

x = 5

x + 2 = 0

x = - 2

x + 4 = 0

x = - 4

Your zeros are at**x = - 4, - 2, and 5**. Or at **(- 4, 0), (- 2, 0), and (5, 0)**.

x - 5 = 0

x = 5

x + 2 = 0

x = - 2

x + 4 = 0

x = - 4

Your zeros are at

Happy new year to you too! and thankyou :)

**Answer:**

thank you it means a lot

Given the x or y value of a 2-variable equation solution, find the value for the other variable in the solution. Practice solving one-variable equations like 20 - 7x