Ask question

Ask question

All categories

3 years ago

12

Elizabeth has a piece of ribbon that is 4.5 meters long. She wants to cut it into pieces that are 0.25 meter long. How many piec

es of ribbon will she have?

1 answer:

AnnyKZ [126]3 years ago

4 0

4,5 : 0,25 = 18 pieces of ribbon.

You might be interested in

Find the mode of 3, 6, 4, 3, 2, 4, 7, 8, 6, 3, 9

lions [1.4K]

Answer:

3 is the mode because it appears most often.

Step-by-step explanation:

8 0

3 years ago

Read 2 more answers

Please help I'll give you brainliest

PSYCHO15rus [73]

Answer:

Equation 1: No solution

Equation 2: Infinity

Equation 3: One solution

Equation 4: Infinity

Equation 5: No solution

Hope this helps you. Do mark my answer as brainly. Thanks

7 0

3 years ago

Suppose that a hypothesis test is conducted. 12 out of 100 subjects have the necessary qualities. The null hypothesis is that th

Veronika [31]

Answer:

Option A

The p-value is less than the significance level of 0.05 chosen and so we reject the null hypothesis H0 and can conclude that the proportion of the subjects who have the necessary qualities is less than 0.2.

Step-by-step explanation:

Normally, in hypothesis testing, the level of statistical significance is often expressed as the so-called p-value. We use p-values to make conclusions in significance testing. More specifically, we compare the p-value to a significance level "α" to make conclusions about our hypotheses.

If the p-value is lower than the significance level we chose, then we reject the null hypotheses H0 in favor of the alternative hypothesis Ha. However, if the p-value is greater than or equal to the significance level, then we fail to reject the null hypothesis H0

though this doesn't mean we accept H0 automatically.

Now, applying this to our question;

The p-value is 0.023 while the significance level is 0.05.

Thus,p-value is less than the significance level of 0.05 chosen and so we reject the null hypothesis H0 and can conclude that the proportion of the subjects who have the necessary qualities is less than 0.2.

The only option that is correct is option A.

5 0

3 years ago

Read 2 more answers

12. What is the value of x?

Vanyuwa [196]

Answer:

$x=3.75\ units$

Step-by-step explanation:

we know that

$(AE)(EB)=(CE)(ED)$ ----> by Intersecting Chords Theorem

substitute the given values

$(6)(5)=8x$

solve for x

$x=\frac{30}{8}$

$x=3.75\ units$

5 0

3 years ago

Read 2 more answers

In a certain section of Southern California, the distribution of monthly rent for a one-bedroom apartment has a mean of $2,275 a

KATRIN_1 [288]

Answer:

100% probability of selecting a sample of 65 one-bedroom apartments and finding the mean to be at least $2,095 per month

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of $2,275 and a standard deviation of $290.

This means that $\mu = 2275, \sigma = 290$

Sample of 65:

This means that $n = 65, s = \frac{290}{\sqrt{65}}$

Finding the mean to be at least $2,095 per month

This is 1 subtracted by the p-value of Z when X = 2095. So

$Z = \frac{X - \mu}{\sigma}$

By the Central Limit Theorem

$Z = \frac{X - \mu}{s}$

$Z = \frac{2095 - 2275}{\frac{290}{\sqrt{65}}}$

$Z = -5$

$Z = -5$ has a p-value of 0.

1 - 0 = 1

100% probability of selecting a sample of 65 one-bedroom apartments and finding the mean to be at least $2,095 per month

7 0

3 years ago