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3 years ago

15

Which is a perfect square? A-20 B-21 C-24 D-25

2 answers:

Art [367]3 years ago

6 0

Answer:

D; 25

Step-by-step explanation:

√25 = 5

vladimir1956 [14]3 years ago

6 0

Answer:

D) 25

Step-by-step explanation:

Perfect squares means that if the number is factored, the factors will be the same number. For example, 25.

25 factored = 5 * 5 (= 25)

Because both factors are the number (5), 25 is considered to be a perfect square.

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Need help with this will mark brainliest

dimulka [17.4K]

Answer:

$n=\frac{S}{180}+2$

Step-by-step explanation:

Hi there!

$S=(n-2)180$

We can isolate <em>n</em> by performing inverse operations on both sides to cancel out values.

First, divide both sides by 180 to isolate n-2:

$\frac{S}{180}=n-2$

Now, add 2 to both sides to isolate n:

$\frac{S}{180}+2=n\\n=\frac{S}{180}+2$

I hope this helps!

5 0

3 years ago

If the P-value is 0.02, it means that the probability of obtaining the sample statistic is 2%, if the null hypothesis is true. t

Talja [164]

Answer:

Option a) The probability of obtaining the sample statistic is 2%, if the null hypothesis is true.

Step-by-step explanation:

We are given that the p-value is 0.02

Converting it into percentage:

$0.02\times 100 = 2\%$

P-value can be explained as:

P-value can be described as probability of the occurrence of a given event

The p-value, or probability, is the probability of finding the observed results when the null hypothesis $H_0$ of a study is true.
If the p-value is less than the chosen significance level then we reject the null hypothesis and accept that the sample gives reasonable evidence to support the alternative hypothesis.
A smaller p-value means that there is stronger evidence in favor of the alternative hypothesis.
The p-value is the probability to the right of our test statistic.
The smaller is the p-value, the stronger are the evidence against the null hypothesis and in favor of alternative hypothesis.

Hence, Option a) correctly describes the p-values as:

The probability of obtaining the sample statistic is 2%, if the null hypothesis is true.

8 0

3 years ago

Will a 13% increase followed by a 13% decrease result in no net change?

vaieri [72.5K]

Answer:

Yes

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers

You work for a soft-drink company in the quality control division. You are interested in the standard deviation of one of your p

frutty [35]

Answer:

Step-by-step explanation:

weight (x) $( x - \overline x)^2$

12.05 0.00123

12 0.00019

11.96 0.00292

12.14 0.0159

12.12 0.00112

11.97 0.0019

11.96 0.0029

12.11 0.0092

11.94 0.0055

11.82 0.038

12 0.00019

12.18 0.028

11.91 0.0108

12.06 0.0021

11.99 0.0029

$\sum x = 180.21$ $\sum (x - \overline x)^2 = 0.12285$

Sample size = 15

$\overline x = \dfrac{180.21}{15} = 12.014$

Sample standard deviation

$x = \sqrt{\dfrac{0.12285}{15-1}}$

$x = 0.0937$

$\text{degree of freedom = n - 1}$

$degree of freedom = 15- 1=14$

$\text{confidence interval} \alpha = 1- 0.98 = 0.02 \\ \\ \alpha/2 = 0.02/2 = 0.01$

$From \ X^2 \ table}$ $\text{, the critical value} X^2 \text{=0.99 for degree of freedom =14 is given by : 4.660}$

$\text{, the critical value} X^2 \text{=0.01 for degree of freedom =14 is given by : 29.141}$

$\text{Thus, the lower limit = 4.660, the upper limit = 29.141}$

$\text{the confidence interval of the standard deviation} \ \sigma \ is:$

$\sqrt{\dfrac{(n -1)s^2}{X^2_{\dfrac{\sigma}{2}}} } \le \sigma \le \sqrt{\dfrac{(n -1)s^2}{X^2_{1-\dfrac{\sigma}{2}}} }$

replacing our values:

$\sqrt{\dfrac{(15 -1)0.0937^2}{29.141} } < \sigma$

$= 0.06495 < \sigma < 0.1624$

$\mathbf{Thus; \ \sigma (0.06495 , 0.1624)}$

3 0

2 years ago

Can someone help me with this geometry question?

lana66690 [7]

Answer:

whats the question

Step-by-step explanation:

3 0

3 years ago

Read 2 more answers