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sashaice [31]
3 years ago
6

Fourteen thousand seven hundred ninety three in standard form

Mathematics
2 answers:
NeTakaya3 years ago
7 0

Answer:

14,793

Step-by-step explanation:

valina [46]3 years ago
3 0

Answer:

14,793

Step-by-step explanation:

To be able to find the answer, you have to start with the largest digit. So take apart what the question has told you. So first, start with the fourteen thousand. That would be 14,00. Next, add seven hundred. That would make the number in standard form be 14,700. Then, add ninety-three. That would make you answer 14,793. And that would give you your answer!

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A researcher finds that of 1000 people who said that they attend a religious service at least once a week, A stopped to help a p
Ne4ueva [31]

Answer:

There is enough evidence to support the claim that the proportions are not equal. (P-value: 0.048).

Step-by-step explanation:

The question is incomplete:

<em>"A researcher finds that of 1000 people who said that they attend a religious service at least once a week, 31 stopped to help a person with car trouble. Of 1200 people interviewed who had not attended a religious service at least once a month, 22 stopped to help a person with car trouble. At the 0.05 significance level, test the claim that the two proportions are different."</em>

This is a hypothesis test for the difference between proportions.

The claim is that the proportions are not equal.

Then, the null and alternative hypothesis are:

H_0: \pi_1-\pi_2=0\\\\H_a:\pi_1-\pi_2\neq 0

The significance level is 0.05.

The sample 1, of size n1=1000 has a proportion of p1=0.031.

p_1=X_1/n_1=31/1000=0.031

The sample 2, of size n2=1200 has a proportion of p2=0.018.

p_2=X_2/n_2=22/1200=0.018

The difference between proportions is (p1-p2)=0.013.

p_d=p_1-p_2=0.031-0.018=0.013

The pooled proportion, needed to calculate the standard error, is:

p=\dfrac{X_1+X_2}{n_1+n_2}=\dfrac{31+22}{1000+1200}=\dfrac{53}{2200}=0.024

The estimated standard error of the difference between means is computed using the formula:

s_{p1-p2}=\sqrt{\dfrac{p(1-p)}{n_1}+\dfrac{p(1-p)}{n_2}}=\sqrt{\dfrac{0.024*0.976}{1000}+\dfrac{0.024*0.976}{1200}}\\\\\\s_{p1-p2}=\sqrt{0+0}=\sqrt{0}=0.007

Then, we can calculate the z-statistic as:

z=\dfrac{p_d-(\pi_1-\pi_2)}{s_{p1-p2}}=\dfrac{0.013-0}{0.007}=\dfrac{0.013}{0.007}=1.98

This test is a two-tailed test, so the P-value for this test is calculated as (using a z-table):

P-value=2\cdot P(z>1.98)=0.048

As the P-value (0.048) is smaller than the significance level (0.05), the effect is significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that the proportions are not equal.

6 0
3 years ago
Solve for A. Please help and thank u
kobusy [5.1K]

Answer:

a = -2

Step-by-step explanation:

-3a + 8 = 14

14 - 8

= 6

-3a = 6

6/-3

= -2

a = -2

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3 years ago
PLEASE HELP ILL MARK BRAINLY!!!!!!!!
BaLLatris [955]

Answer:

2

Step-by-step explanation:

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3 years ago
Find the next number in the pattern.
hoa [83]
Te answer is 44 :)
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6 0
3 years ago
What is the original price if the sale price is 57 and the discount is 10%
Slav-nsk [51]

Answer:

The closest I got was $63.33 (IT TOOK FOREVER...)

Step-by-step explanation:

<em>It izz wat it izzzz!!!</em>

<em>                      </em>    :)

5 0
3 years ago
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