In one study, it was found that the correlation coefficient between two variables is -0.93.

Mathematics

2 answers:

Fynjy0 [20]3 years ago

6 0

Answer: D. There is a strong negative association between the variables.

Step-by-step explanation:

We know that when the value of the correlation coefficient lies between -1 to -.05 , then we say there is strong negative correlation between the variables.

When the value of the correlation coefficient lies between 0.5 to 1, then we say there is strong positive correlation between the variables.

Given : In one study, it was found that the correlation coefficient between two variables is -0.93.

∵ -1< -0.93 <-0.5

Then , it indicates that there is a strong negative association between the variables.

Marysya12 [62]3 years ago

4 0

the answer is d (i think) because anything aboveboard .90, whether it is positive or negative

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The average gasoline price of one of the major oil companies in Europe has been $1.25 per liter. Recently, the company has under

Ann [662]

Answer:

$t=\frac{1.20-1.25}{\frac{0.14}{\sqrt{49}}}=-2.50$

Step-by-step explanation:

Data given and notation

$\bar X=1.20$ represent the sample mean given

$\sigma = 0.14$ represent the population standard deviation

$n=49$ sample size

$\mu_o =1.25$ represent the value that we want to test

t would represent the statistic (variable of interest)

State the null and alternative hypotheses.

We need to conduct a hypothesis in order to check if the true mean for the gasoline prices is lower than 1.25, the system of hypothesis would be:

Null hypothesis: $\mu \geq 1.25$

Alternative hypothesis: $\mu < 1.25$

If we analyze the size for the sample is > 30 but we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:

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