Use the drop-down menus to complete each statement to show why 21√ is between 4 and 5.

Mathematics

1 answer:

nikklg [1K]4 years ago

3 0

Answer:

1) The answers are: "√16" and "√25" .

________________________________________________

2) The answers are: "4" and "5" .

________________________________________________

Step-by-step explanation:

You might be interested in

Which is greater √10 or 3.2

Vinvika [58]

If you find the square root of 10, you can see it is 3.16. So, 3.2 is greater than the square root of 10.

7 0

3 years ago

1.Dylan bought 3.5 meters of cloth for 94.5 pesos.How much does 1 meter og the cloth cost?

muminat

1.Dylan bought 3.5 meters of cloth for 94.5 pesos.How much does 1 meter og the cloth cost?

PLEASE I NEED IT NOW CAUSE IM EXPERIENCING DESPRESS I HOPE EVERYONE COULD HELP him

8 0

3 years ago

If an object is shot with an initial velocity of 160 ft/sec, what is the smallest initial angle will you need to obtain a horizo

MrRissso [65]

To solve the question we shall use the formula for the range given by:
Horizontal range, R=[v²sin 2θ]/g
plugging in our values we get:
500=[160²×sin 2θ]/10
5000=160²×sin 2θ
0.1953=sin 2θ
thus:
arcsin 0.1953=2θ
11.263=2θ
hence:
θ=5.6315°~5.63

3 0

4 years ago

(1 point) The cost of unleaded gasoline once followed an unknown distribution with a mean of $4.59 and a standard deviation of $

marin [14]

Answer:

a) unknown

b) 1.43% probability that the average price for 30 gas stations is less than $4.55.

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 normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, 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 $s = \frac{\sigma}{\sqrt{n}}$ .