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marusya05 [52]
3 years ago
9

A number - _______ = previous number

Mathematics
1 answer:
leva [86]3 years ago
6 0

Answer:

1

Step-by-step explanation:

When we substract 1 from any number then will get just previous number.

Example :

Let any number 17

17-1 =16

16 is the just previous number of 17

Therefore, A number -1 = previous number

Answer will be 1

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Answer:

V=314.15

Step-by-step explanation:

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3 years ago
A poll finds that 54% of the 600 people polled favor the incumbent. Shortly after the poll is taken, it is disclosed that the in
egoroff_w [7]

Answer:

There is not enough evidence to support the claim that the proportion that polled in favor of the incumbent has decreased significantly (P-value=0.06).

Test statistic z=1.56.

 

Step-by-step explanation:

This is a hypothesis test for the difference between proportions.

The claim is that the proportion that polled in favor of the incumbent has decreased significantly.

Then, the null and alternative hypothesis are:

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

The significance level is 0.05.

The sample 1 (old poll), of size n1=600 has a proportion of p1=0.54.

The sample 2 (new poll), of size n2=1030 has a proportion of p2=0.5.

 

The difference between proportions is (p1-p2)=0.04.

p_d=p_1-p_2=0.54-0.5=0.04

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

p=\dfrac{X_1+X_2}{n_1+n_2}=\dfrac{324+515}{600+1030}=\dfrac{839}{1630}=0.5147

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{0.5147*0.4853}{600}+\dfrac{0.5147*0.4853}{1030}}\\\\\\s_{p1-p2}=\sqrt{0.0004+0.0002}=\sqrt{0.0007}=0.0257

Then, we can calculate the z-statistic as:

z=\dfrac{p_d-(\pi_1-\pi_2)}{s_{p1-p2}}=\dfrac{0.04-0}{0.0257}=\dfrac{0.04}{0.0257}=1.56

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

\text{P-value}=P(z>1.56)=0.06

As the P-value (0.06) is bigger than the significance level (0.05), the effect is not significant.

The null hypothesis failed to be rejected.

There is not enough evidence to support the claim that the proportion that polled in favor of the incumbent has decreased significantly.

5 0
4 years ago
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