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3 years ago

What is 7,014,999,999 rounded to the nearest hundred thousand

Mathematics

2 answers:

Drupady [299]3 years ago

5 0

I think the answer is: 7,015,000,000

Snowcat [4.5K]3 years ago

4 0

7,015,000,000 (hopefully this helps)

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The dot plot below shows the numbers of years of experience of the teachers at City High School.

gladu [14]

Answer: Between 14 and 18 years

Step-by-step explanation:

There are no dots in that area.

3 0

3 years ago

A science teacher shares 32 beakers equally between 5 students. The number of beakers that each student gets lies between what t

irina [24]

Answer:

6 and 7

Step-by-step explanation:

5*6=30 and there is no other 5 on the board and i just took that test and i got it right

please mark brainiest

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3 years ago

A company is interested on average wages of employee and variance. A sample of 20 workers is taken and it is found that mean wag

vfiekz [6]

Given that the mean is $9.5 and the standard deviation is $1.30, the standard error will be given by:
σ/√n
where
σ-standard deviation
n=sample size

thus, we shal have:
1.30/√20
=0.2906
Next we find the margin error
0.2906*2=0.581
thus the confidence interval will be:
(9.5+0.581, 9.5-0.581)
=(10.081,8.919)

6 0

3 years ago

Consider the following hypothesis test.H0:μ1−μ2=0 Ha:μ1−μ2≠0The following results are for two independent samples taken from the

Julli [10]

Answer:

a) $z =\frac{104-106}{\sqrt{\frac{8.4^2}{80} +\frac{7.6^2}{70}}}= -1.53$

b) $p_v =2*P(z$

c) Since the p value is higher than the significance level provided we have enogh evidence to FAIL to reject the null hypothesis and we can't conclude that the true means are different at 5% of significance

Step-by-step explanation:

Information given

$\bar X_{1}= 104$ represent the mean for 1

$\bar X_{2}= 106$ represent the mean for 2

$\sigma_{1}= 8.4$ represent the population standard deviation for 1

$\sigma_{2}= 7.6$ represent the population standard deviation for 2

$n_{1}=80$ sample size for the group 1

$n_{2}=70$ sample size for the group 2

z would represent the statistic

Hypothesis to test

We want to check if the two means for this case are equal or not, the system of hypothesis would be:

H0: $\mu_{1}=\mu_{2}$

H1: $\mu_{1} \neq \mu_{2}$

The statistic would be given by:

$z =\frac{\bar X_1-\bar X_2}{\sqrt{\frac{\sigma^2_1^2}{n_1} +\frac{\sigma^2_2^2}{n_2}}}=$ (1)

Part a

Replacing we got:

$z =\frac{104-106}{\sqrt{\frac{8.4^2}{80} +\frac{7.6^2}{70}}}= -1.53$

Part b

The p value would be given by this probability:

$p_v =2*P(z$

Part c

Since the p value is higher than the significance level provided we have enogh evidence to FAIL to reject the null hypothesis and we can't conclude that the true means are different at 5% of significance

6 0

3 years ago

Simplify the expression. Write your answer using decimals.

Andrei [34K]

Answer:

−2.5d−0.7

Step-by-step explanation:

1 Expand by distributing terms.

-(2.5d+5)+4.3

2 Remove parentheses.

-2.5d-5+4.3

3 Collect like terms.

-2.5d+(-5+4.3)

4 Simplify.

-2.5d-0.7

7 0

3 years ago