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klasskru [66]
3 years ago
14

Professor Hartwick finds that people who tend to score low on one variable tend to score low on another variable. Professor Hart

wick has found: a. a correlation coefficient that is less than zero. b. a negative correlation. c. a positive correlation. d. no relationship.
Mathematics
1 answer:
garri49 [273]3 years ago
8 0

Answer:

Option C) a positive correlation.

Step-by-step explanation:

We are given the following in the question:

" People who tend to score low on one variable tend to score low on another variable."

Correlation:

  • Correlation is a technique that help us to find or define a linear relationship between two variables.
  • It is a measure of linear relationship between two quantities.
  • A positive correlation means that an increase in one quantity leads to an increase in another quantity  or decrease in one quantity leads to decrease in another quantity.
  • A negative correlation means with increase in one quantity the other quantity decreases.
  • +1 tells about a a perfect positive linear relationship and −1 indicates a perfect negative linear relationship.

Since, for the given case with decrease in one variable other also decreases, thus, it is an example of positive correlation. Thus, the correlation coefficient cannot be less than or equal to zero.

Thus, the correct answer is

Option C) a positive correlation.

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A simple random sample of size n=250 individuals who are currently employed is
Likurg_2 [28]

Answer:

0.104 - 2.58\sqrt{\frac{0.104(1-0.104)}{250}}=0.054

0.104 + 2.58\sqrt{\frac{0.104(1-0.104)}{250}}=0.154

The 99% confidence interval would be given by (0.054;0.154) . So we are confident at 99% that the true proportion of people that they did work at home at least once per  week is between 0.054 and 0.154

Step-by-step explanation:

For this case we can estimate the population proportion of people that they did work at home at least once per  week with this formula:

\hat p = \frac{X}{n}= \frac{26}{250}= 0.104

We need to find the critical value using the normal standard distribution the z distribution. Since our condifence interval is at 99%, our significance level would be given by \alpha=1-0.99=0.01 and \alpha/2 =0.005. And the critical value would be given by:

z_{\alpha/2}=-2.58, z_{1-\alpha/2}=2.58

The confidence interval for the mean is given by the following formula:  

\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

If we replace the values obtained we got:

0.104 - 2.58\sqrt{\frac{0.104(1-0.104)}{250}}=0.054

0.104 + 2.58\sqrt{\frac{0.104(1-0.104)}{250}}=0.154

The 99% confidence interval would be given by (0.054;0.154) . So we are confident at 99% that the true proportion of people that they did work at home at least once per  week is between 0.054 and 0.154

3 0
3 years ago
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Nikolay [14]

Answer: X = 24/G

G = 24/x

                     

Step-by-step explanation:

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Answer:

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Step-by-step explanation:

All angles inside a triangle add up to 180 so:

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Answer:

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(b) Given that
Gnesinka [82]

Answer:n=-2 or n=4

Step-by-step explanation:

Q is not inversible if det(Q)=0

\left|\begin{array}{ccc}6&7&-1\\3&n&5\\9&11&n\end{array}\right| =0\\\\\\\\6(n^2-55)-3(7n+11)+9(35+n)=0\\\\n^2-2n-8=0\\\\\Delta=36=6^2\\\\n=\dfrac{2-6}{2} =-2\ or\  n=\dfrac{2+6}{2}=4\\

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