What is 5421.9 times 572.481 plus 471.481?

JoAnn would have worked 45 hours. You start by multiplying 13 and 35 and subtract that from 650 to get 195. from there you d8ivide 195 by 19.50 to get 10. Lastly, you add 35 and 10 to get a total of 45 hours

6 0

4 years ago

Vivian found data about her city's population and made a scatter plot the equation of the linebbest fit for. Her data is p= 637.

Andre45 [30]

Answer:

annual growth rate m = 637.5 people / year

Step-by-step explanation:

Solution:-

- The scatter plot displaying the city's population was modeled by a linear equation of the form:

y = m*x + c

Where, m and c are constants.

- The scatter plot displayed the following relation of the city's population (p):

p = 637.5*t + 198,368.1

Where, p : The population in t years after after 1990

t : The number of years passed since 1990.

- The slope of the graph "m = 637.5" denotes the rate of change of dependent variable with respect ot independent variable:

dp / dt = m = 637.5

- So the rate of change of population per unit time t since 1990 has been constant with a an annual growth rate m = 637.5 people / year

7 0

4 years ago

Watching tv: in 2012, the general social survey asked a sample of 1310 people how much time they spend\t watching tv each day. T

gayaneshka [121]

Answer:

a) Null hypothesis: $\mu \geq 3$

Alternative hypothesis: $\mu < 3$

This hypothesis test is a left tailed test.

b) $t=\frac{2.8-3}{\frac{2.6}{\sqrt{1310}}}=-2.784$

The p value for this case can be calculated with this probability:

$p_v =P(z$

We can conduct the test with the Ti84 using the following steps:

STAT>TESTS>T-test>Stats

We input the value $\mu_o =3, \bar X= 2.8, s_x = 2.6, n=1310$ and for the alternative we select $< \mu_o$ . Then press Calculate.

And we got the same results.

Step-by-step explanation:

Information given

$\bar X=2.8$ represent the sample mean

$s=2.6$ represent the population standard deviation

$n=1310$ sample size

$\mu_o =3$ represent the value to test

$\alpha=0.5$ represent the significance level for the hypothesis test.

t would represent the statistic

$p_v$ represent the p value for the test

Part a) System of hypothesis

We want to test if the true mean is less than 3, the system of hypothesis would be:

Null hypothesis: $\mu \geq 3$

Alternative hypothesis: $\mu < 3$

This hypothesis test is a left tailed test.

Part b

The statistic is given by:

$t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}$ (1)

Replacing the info given we got:

$t=\frac{2.8-3}{\frac{2.6}{\sqrt{1310}}}=-2.784$

The p value for this case can be calculated with this probability:

$p_v =P(z$

We can conduct the test with the Ti84 using the following steps:

STAT>TESTS>T-test>Stats

We input the value $\mu_o =3, \bar X= 2.8, s_x = 2.6, n=1310$ and for the alternative we select $< \mu_o$ . Then press Calculate.

And we got the same results.

6 0

4 years ago