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3 years ago

7

i see two things at the mall one shirt is 32$ and is 70% off and the 2nd shirt is 33$ and is 71% percent off which is a better d

eal

1 answer:

Lemur [1.5K]3 years ago

8 0

They would be an equal price

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Trent went skiing with his family. His mom and dad made him put on many different layers of clothing so that he would be warm wh

mafiozo [28]

I think the answer is A. conductor

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3 years ago

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A 25-foot ladder is leaned against a wall. If the base of the ladder is 7 feet from the wall, how high up the wall will the ladd

GenaCL600 [577]

Answer:

24ft

Step-by-step explanation:

Pythagorean Theorem!!

$a^2 + b^2 = c^2$

------------------------

In this case, the ladder is c, and the base is b.

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Plug the numbers in the formula.

$a^2 + 7^2 = 25^2$

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Solve.

$a^2 + 49 = 625$

$a^2 -49 = 625 - 49$

$a^2 = 576$

$\sqrt{a^2} = \sqrt{576}$

$a = 24$

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3 years ago

A manufacturer of televisions subjects the equipment to a comprehensive testing process for all essential functions before the t

Vikki [24]

Answer:

The value is $P(X \ge 9) = 0.9138$

Step-by-step explanation:

From the question we are told that

The probability of passing the test is $p = 0.95$

The sample size is n = 10

Generally the distribution of the comprehensive testing of equipment follows a binomial distribution

i.e

$X \~ \ \ \ B(n , p)$

and the probability distribution function for binomial distribution is

$P(X = x) = ^{n}C_x * p^x * (1- p)^{n-x}$

Here C stands for combination hence we are going to be making use of the combination function in our calculators

Generally the probability that at least 9 pass the test is mathematically represented as

$P(X \ge 9) = P(X = 9 ) + P(X = 10 )$

=> $P(X \ge 9) = [^{10}C_9 * (0.95)^9 * (1- 0.95)^{10-9}] + [^{10}C_{10} * (0.95)^{10} * (1- 0.95)^{10-10}]$

=> $P(X \ge 9) = [0.3151] + [0.5987]$

=> $P(X \ge 9) = 0.9138$

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3 years ago

Two lines intersect at exactly 1 point<br> O Sometimes<br> O Always<br> O Never

Hitman42 [59]

Answer:

Sometimes

explanation:

ive already taken this :)

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4 years ago

Read 2 more answers

A development economist is studying income growth in a rural area of a developing country. The last census of the population of

kykrilka [37]

Answer:

If we compare the p value and the significance level given $\alpha=0.01$ we see that $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can say that the population mean is not singificantly higher than 425.

Step-by-step explanation:

Data given and notation

$\bar X=433.75$ represent the mean height for the sample

$\sigma=\sqrt{2500}=50$ represent the population standard deviation for the sample

$n=100$ sample size

$\mu_o =425$ represent the value that we want to test

$\alpha=0.01$ represent the significance level for the hypothesis test.

z would represent the statistic (variable of interest)

$p_v$ represent the p value for the test (variable of interest)

State the null and alternative hypotheses.

We need to conduct a hypothesis in order to check if the mean height actually is higher than the mean height for men in 1960, the system of hypothesis would be:

Null hypothesis: $\mu \leq 425$

Alternative hypothesis: $\mu > 425$

Since we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:

$z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}$ (1)

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".

Calculate the statistic

We can replace in formula (1) the info given like this:

$z=\frac{433.75-425}{\frac{50}{\sqrt{100}}}=1.75$

P-value

Since is a one right tail test the p value would be:

$p_v =P(z>1.75)=1-P(z$

Conclusion

If we compare the p value and the significance level given $\alpha=0.01$ we see that $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can say that the population mean is not singificantly higher than 425.

3 0

3 years ago