(4,-1). 4x+3y=13. You do 4(4)+3(-1)=13. hope that helps.
Answer:
Lowering the level of significance, α increases the probability of making a Type II error, β.
Step-by-step explanation:
Lowering the level of significance, α increases the probability of making a Type II error, β.
This is because the region of acceptance becomes bigger, and it makes it less likely for one to reject a null hypothesis, when it is false, the type II error.
A) The attachment shows the equation of the best-fit line. It is approximately
.. test average = 89.7 -2.93*(hours playing games)
b) The slope indicates the expected drop in test score for each hour spent playing games
c) The y-intercept is the expected test score if no hours are spent playing games.
d) The correlation coefficient is -0.92, a significant negative correlation. One might expect that hours spent playing games indicates a lack of interest in school subjects or studying, hence a likelihood that test scores will be lower.
e) The equation predicts a test score of about 75 for someone who spends 5 hours a week playing video games.
A standard normal distribution has a mean of zero; half the bell curve is to the left of zero and half to the right.
A standard normal distribution has a standard deviation of 1 and follows the 68-95-99.7 rule; e.g. 99.7% of the probability is between -3 and +3.
Choice a
The correct answer is 8 in