If the number of people is greater than the number of segments, each person will get less than one segment, true or false?

Mathematics

1 answer:

xz_007 [3.2K]3 years ago

7 0

Answer:

True

Step-by-step explanation:

If the number of people is greater than the amount of segments, then there won't be enough segments for everyone, so it would have to be split up.

You might be interested in

You buy 3 pairs of pants at an original cost of $24.99 and the sale is buy 1 get the 2nd pair half off. The sales tax is 6%. How

Finger [1]

Answer:

D. $66.23

Step-by-step explanation:

The sale discounts your purchase by half the price of a pair of pants, so you pay for 2.5 pairs of pants. The sale price of the pants is then ...

$24.99 × 2.5 = $62.48

The added tax multiplies this value by 1.06, so you pay ...

1.06 × $62.48 = $66.23

_____

<em>Comment on the answer</em>

Whether you pay $66.23 or $66.22 depends on how the discount is calculated. If you get the benefit of the half-penny (the discount is rounded up), then the sale price is $62.47 and the total is $66.22.

4 0

3 years ago

New heat lamps are reported to have the mean lifespan of 100 hours with a standard deviation of 15 hours. Before replacing their

Tom [10]

Answer:

The correct option is C

The correct option is A

The correct option is B

Step-by-step explanation:

From the question we are told that

The population mean is $\mu = 100$

The standard deviation is $\sigma = 15$

The sample size is $n = 36$

The sample mean is $\= x = 105.1$

Generally

The null hypothesis is $H_o: \mu = 100 \ hours$

The alternative hypothesis is $H_a : \mu \ne 100\ hours$

Given that the null hypothesis is true then the distribution of sample means $\mu_{\= x }$ , from a sample size of 36 is mathematically represented as

$\mu_{\= x } = \mu$

=> $\mu_{\= x } = 100$

According to the Central Limit Theorem the test stated in the question is approximately normally distributed if the sample size is sufficiently large $(n > 30 )$ so given that the sample size is large n = 36