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oee [108]
4 years ago
11

Which statement is true

Mathematics
1 answer:
EastWind [94]4 years ago
6 0

Answer:

a

Step-by-step explanation:

You might be interested in
What is 1/6 plus 3/6
jarptica [38.1K]
1/6 +3/6 = 4/6 but if you simply its 2/3
3 0
3 years ago
Read 2 more answers
Timothy need 1/2 cup of bread crumbs for a casserole and 1/3 cup of bread crumbs for the topping. How many cups of bread crumbs
frez [133]

Answer:

Step-by-step explanation:

So first you would find a common denominator. The common denominator is 6. For 1/3 you multiply both numbers by 2. For 1/2 you multiply both numbers by 3. You would then have 3/6 and 2/6. You add them together which equals 5/6. Timothy need 5/6 cups of bread crumbs for his casserole.

4 0
4 years ago
a boat capsized and sank in the lake. based on an assumption of a mean weight of 143 lb, the boat was rated to carry 70 passenge
Alenkinab [10]

The final answer is the probability that the boat is overloaded because the mean weight of the 70 passengers is greater than 143lb is 1.0000.

A normal distribution is a continuous data distribution with a bell-shaped curve. The normally distributed random variable X has mean $\mu$ and standard deviation $\sigma$.

In addition, the standard normal distribution represents a normal curve with a mean of zero and a standard deviation of one.

The number of standard deviations an element deviates from the mean is indicated by a standardized Z-score.

What is the theorem of the central limit?

  • If the sample size from the population is sufficiently large and has a finite variance, the mean of all samples taken will be approximately the same as the population mean. And the variance would be the population variance divided by the sample size. In addition, the sampling distribution would be roughly normal.
  • The formula for sampling distribution of the sample mean is $\mu_{\bar{x}}=\mu$
  • The formula for standard deviation of the sample mean is,\sigma_{\bar{x}}=\frac{\sigma}{\sqrt{n}}
  • Here, $\sigma$ is the population standard deviation and n is the sample size.
  • The formula for standard z-score is,

z=\frac{\bar{x}-\mu_{x}}{\frac{\sigma}{\sqrt{n}}}

  • From the given information,Population mean, $\mu=171$,Population standard deviation, $\sigma=37.7$,Sample size, n=70
  • Compute the probability that the boat is overloaded because the mean weight of the 70 passengers is greater than $143l \mathrm{~b}$.

$$\begin{aligned}P(\bar{X} > 143) &=P\left(\frac{\bar{X}-\mu}{\sigma / \sqrt{n}} > \frac{143-171}{37.7 / \sqrt{70}}\right) \\&=P(Z > -6.21) \\&=1-P(Z < -6.21) \text { (Use the Excel function NORMSDIST(-6.21)) } \\&=1-0.0000 \\&=1.0000\end{aligned}$$

To learn more about standard deviation visit:

brainly.com/question/16555520?

#SP4

4 0
2 years ago
Find the coordinates of the midpoint of S(5,-8),T(10,18)
AlekseyPX
Midpoint of (x1,y1) and (x2,y2) is

((x1+x2)/2,(y1+y2)/2)

just average the x and y values

(5,-8) and (10,18)
((5+10)/2,(-8+18)/2)
(15/2,10/2)
(7.5,5)

the midpoint is (7.5,5)
8 0
3 years ago
A new post-surgical treatment is being compared with a standard treatment. Seven subjects receive the new treatment, while seven
a_sh-v [17]

Answer:

(17.714-28.714) -2.681 \sqrt{\frac{4.461^2}{7} +\frac{7.387^2}{7}}= -19.745

(17.714-28.714) +2.681 \sqrt{\frac{4.461^2}{7} +\frac{7.387^2}{7}}= -2.255

Step-by-step explanation:

For this case we have the following info given:

Treatment: 12 13 15 19 20 21 24

Control: 18 23 24 30 32 35 39

We can find the sample mean and deviations with the the following formulas:

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

s =\sqrt{\frac{\sum_{i=1}^n (X_i- \bar X)^2}{n-1}}

And repaplacing we got:

\bar X_T = 17.714 the sample mean for treatment

\bar X_C = 28.714 the sample mean for treatment

s_T= 4.461 the sample deviation for treatment

s_C= 7.387 the sample deviation for control

n_T= n_C= 7 the sample size for each sample

The degrees of freedom are given by:

df= 7+7-2= 12

The confidence interval for the difference of means is given by:

(\bar X_T -\bar X_C) \pm t_{\alpha/2} \sqrt{\frac{s^2_T}{n_T} +\frac{s^2_C}{n_C}}

The confidence is 98% so then the significance is \alpha=0.02 and \alpha/2 =0.01. Then the critical value would be:

t_{\alpha/2}=2.681

And replacing we got:

(17.714-28.714) -2.681 \sqrt{\frac{4.461^2}{7} +\frac{7.387^2}{7}}= -19.745

(17.714-28.714) +2.681 \sqrt{\frac{4.461^2}{7} +\frac{7.387^2}{7}}= -2.255

4 0
4 years ago
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