Find the slope of a line parallel to the line whose equation is y-4=7(x+2).

What is LXWXH? khkbjkgjgkjbjhcytfyjhv mhchtchg

kumpel [21]

Answer: Length x Width x Height

Multiply the length (L) times the width (W) times the height (H). The formula looks like this: LxWxH For this example, to calculate the volume of the object the formula would be 10 x 10 x 10 = 1,000 cubic inches.

Step-by-step explanation:

5 0

3 years ago

mariarad [96]

Answer:

$p_v =P(z>2.087) =0.0184$

So with the p value obtained and using the significance level given $\alpha=0.01$ we have $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 1% of significance the mean for the control group it's not significantly higher than the mean of the treatment group by 1 point.

Step-by-step explanation:

When we have two independent samples from two normal distributions with equal variances we are assuming that

$\sigma^2_1 =\sigma^2_2 =\sigma^2$

$\sigma=2.5$

And the statistic is given by this formula:

$z=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{\sigma\sqrt{\frac{1}{n_1}}+\frac{1}{n_2}}$

Where z follows a normal standard distribution

The system of hypothesis on this case are:

Null hypothesis: $\mu_c \leq \mu_t+1$

Alternative hypothesis: $\mu_c >\mu_t+1$

Or equivalently:

Null hypothesis: $\mu_c - \mu_t \leq 1$

Alternative hypothesis: $\mu_c-\mu_t>1$

Our notation on this case :

$n_c =45$ represent the sample size for group control

$n_t =45$ represent the sample size for group treatment

$\bar X_c =5.2$ represent the sample mean for the group control

$\bar X_t =3.1$ represent the sample mean for the group treatment

And now we can calculate the statistic:

$z=\frac{(5.2-3.1)-(1)}{2.5\sqrt{\frac{1}{45}}+\frac{1}{45}}=2.087$

And now we can calculate the p value using the alternative hypothesis:

$p_v =P(z>2.087) =0.0184$

So with the p value obtained and using the significance level given $\alpha=0.01$ we have $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 1% of significance the mean for the control group it's not significantly higher than the mean of the treatment group by 1 point.

5 0

3 years ago

Which of the following shows the graph this fuction rule? <br> y= 2/3 x - 2

Jobisdone [24]

A liner graph shows the answer

3 0

3 years ago

PLEASE HELP I WILL GVE BRAINLIEST

erica [24]

Answer:

-3y

Step-by-step explanation:

- $\sqrt{9}$ $\sqrt{y^{2} }$

--> -3 $\sqrt{y^{2} }$

--> -3y

5 0

3 years ago

Kaitlin compared the statistics from her team's baseball season. She determined that having fewer hits did not imply that a play

Natalija [7]

Answer: c.There is a correlation between number of hits and number of balls caught. However, there is no causation. This is because there is probably a decrease in the number of balls caught with a decrease in the number of hits.

Step-by-step explanation:

Correlation is a term used to define a relationship between two variables.
Causation is a term used to define the effect of one variable on other.

Given, Kaitlin compared the statistics from her team's baseball season. She determined that having fewer hits did not imply that a player caught more or fewer balls.

There is a correlation between number of hits and number of balls caught. However, there is no causation as " fewer hits did not imply that a player caught more or fewer balls.".

This is because there is probably a decrease in the number of balls caught with a decrease in the number of hits.

Hence, the correct option is "c".

4 0

4 years ago

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