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4 years ago

Three numbers between -5 and 5

Mathematics

2 answers:

bekas [8.4K]4 years ago

7 0

Answer:

Step-by-step explanation:

-5 and 5 are the same numbers and 0 is between

Afina-wow [57]4 years ago

5 0

Step-by-step explanation:

-4,-3,-2,-1,0,1,2,3,and4

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Use the number line below, where RS = 5y + 2, ST = 3y + 6, and RT = 48

tekilochka [14]

RS+ST= RT

(7Y+3)+(2Y+9)= 14Y-8

9Y+12=14Y-8

5Y=20

Y=4

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3 years ago

Which transformation occurred?

nikdorinn [45]

The x coordinate remains the same.
The Y coordinate changes from a positive number to a negative number.

This means that the figure is reflected across the X axis because positive Y values are above the X axis and negative Y values are below the X axis.

The answer is D.

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3 years ago

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Which construction correctly shows how to bisect

Dvinal [7]

Answer:

Step-by-step explanation:

its A

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3 years ago

10^4/888x7 A.77.82 B78.50 C. 80 D.non of the above

labwork [276]

Answer is a hope it helps

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3 years ago

According to the Vivino website, suppose the mean price for a bottle of red wine that scores 4.0 or higher on the Vivino Rating

Natali [406]

Answer:

a) Null and alternative hypothesis

$H_0: \mu=32.48\\\\H_a:\mu< 32.48$

b) Test statistic t=-1.565

P-value = 0.0612

NOTE: the sample size is n=65.

c) Do not reject H0. We cannot conclude that the price in Providence for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is less than the population mean of $32.48.

d) Null and alternative hypothesis

$H_0: \mu=32.48\\\\H_a:\mu< 32.48$

Test statistic t=-1.565

Critical value tc=-1.669

t>tc --> Do not reject H0

Do not reject H0. We cannot conclude that the price in Providence for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is less than the population mean of $32.48.

Step-by-step explanation:

This is a hypothesis test for the population mean.

The claim is that the mean price in Providence for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is less than the population mean of $32.48.

Then, the null and alternative hypothesis are:

$H_0: \mu=32.48\\\\H_a:\mu< 32.48$

The significance level is 0.05.

The sample has a size n=65.

The sample mean is M=30.15.

As the standard deviation of the population is not known, we estimate it with the sample standard deviation, that has a value of s=12.

The estimated standard error of the mean is computed using the formula:

$s_M=\dfrac{s}{\sqrt{n}}=\dfrac{12}{\sqrt{65}}=1.4884$

Then, we can calculate the t-statistic as:

$t=\dfrac{M-\mu}{s/\sqrt{n}}=\dfrac{30.15-32.48}{1.4884}=\dfrac{-2.33}{1.4884}=-1.565$

The degrees of freedom for this sample size are:

$df=n-1=65-1=64$

This test is a left-tailed test, with 64 degrees of freedom and t=-1.565, so the P-value for this test is calculated as (using a t-table):

$\text{P-value}=P(t$

As the P-value (0.0612) is bigger than the significance level (0.05), the effect is not significant.

The null hypothesis failed to be rejected.

At a significance level of 0.05, there is not enough evidence to support the claim that the mean price in Providence for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is less than the population mean of $32.48.

Critical value approach

At a significance level of 0.05, for a left-tailed test, with 64 degrees of freedom, the critical value is t=-1.669.

As the test statistic is greater than the critical value, it falls in the acceptance region.

The null hypothesis failed to be rejected.

6 0

3 years ago