Round 0.859 to the nearest tenth

For 17a-17c, choose Yes or No to indicate wheter a zero must be written in the dividend to find the quotient.

Simora [160]

Answer:

a) yes b) no c) no

Step-by-step explanation:

In order to know this, remember something: to do the division between a number and a rational number like this and with zero to the left, the best way to solve them is converting these number to a natural number.

To do that, you only need to multiply the number by 10, 100, 1000, depending of how many decimals it have.

In case a) 0.05 has two decimals, therefore we multiply by 100:

0.05 * 100 = 5

However, when you do that, you have to do the same thing with the number in the dividend, in this case, 1.4:

1.4 * 100 = 140

So we can conclude that 1.4 you have to add a zero to do the division.

Case b) and c) do not apply, in both cases we multiply by 10 and we get this:

25.2 and 6,

26.1 and 3.

8 0

3 years ago

Is anyone good at elimination method? I will give 10 points to the person that answer the question. :)

Licemer1 [7]

To eliminate x, the coefficients of x's in both equations should be opposite numbers. Since the coefficient of x in the second equation is 3, the coefficient in the first equation should be -3. So she should multiply the first equation by -3.

8 0

3 years ago

Read 2 more answers

Can someone re explain this to me

Pavlova-9 [17]

Answer:

6(37.5) + 45 = $270

Step-by-step explanation:

7 0

3 years ago

To determine her power usage, Keri divides up her day into three parts: morning, afternoon, and evening. She then measures he

marusya05 [52]

Answer:

Stratified Sampling

Step-by-step explanation:

Since Keri divides the day into different strata and each unit is selected from each strata randomly. So, it is Stratified Sampling.

Further, In Stratified Sampling population is divided into several groups such that within the group it is homogeneous and between the group it is heterogeneous. And now a selection of each stratum and unit has an equal chance of selection.

3 0

3 years ago

(Based on Q1 ~ Q3) According to the Bureau of the Census, 18.1% of the U.S. population lives in the Northeast, 21.9% inn the Mid

vekshin1

Answer:

We can therefore conclude that the geographical distribution of hotline callers could be the same as the U.S population distribution.

Step-by-step explanation:

The null Hypothesis: Geographical distribution of hotline callers could be the same as the U.S. population distribution

Alternative hypothesis: Geographical distribution of hotline callers could not be the same as the U.S. population distribution

The populations considered are the Midwest, South, Northeast, and west.

The number of categories, k = 4

Number of recent calls = 200

Let the number of estimated parameters that must be estimated, m = 0

The degree of freedom is given by the formula:

df = k - 1-m

df = 4 -1 - 0 = 3

Let the significance level be, α = 5% = 0.05

For α = 0.05, and df = 3,

from the chi square distribution table, the critical value = 7.815

Observed and expected frequencies of calls for each of the region:

Northeast

Observed frequency = 39

It contains 18.1% of the US Population

The probability = 0.181

Expected frequency of call = 0.181 * 200 = 36.2

Midwest

Observed frequency = 55

It contains 21.9% of the US Population

The probability = 0.219

Expected frequency of call = 0.219 * 200 =43.8

South

Observed frequency = 60

It contains 36.7% of the US Population

The probability = 0.367

Expected frequency of call = 0.367 * 200 = 73.4

West

Observed frequency = 46

It contains 23.3% of the US Population

The probability = 0.233

Expected frequency of call = 0.233 * 200 = 46

$x^{2} = \sum \frac{(O_{i} - E_{i}) ^{2} }{E_{i} } , i = 1, 2,.........k$

Where $O_{i} =$ observed frequency

$E_{i} =$ Expected frequency

Calculate the test statistic value, x²

$x^{2} = \frac{(39 - 36.2)^{2} }{36.2} + \frac{(55 - 43.8)^{2} }{43.8} + \frac{(60 - 73.4)^{2} }{73.4} + \frac{(46 - 46.6)^{2} }{46.6}$

$x^{2} = 5.535$

Since the test statistic value, x²= 5.535 is less than the critical value = 7.815, the null hypothesis will not be rejected, i.e. it will be accepted. We can therefore conclude that the geographical distribution of hotline callers could be the same as the U.S population distribution.

7 0

3 years ago