Answer:
A. False
B. True
C. True
D.True
Step-by-step explanation:
A. False . The significance level or alpha is the probability of rejecting the null hypothesis when it is true. For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference. 0.01 alpha is better than 0.05 alpha . 0.01 indicate a 1% risk of rejecting the null hypothesis when it is true .
B. True . If the p-value is less than alpha, we reject the null hypothesis . Therefore statistically significant.
C . True . If the p-value is less than alpha, we reject the null hypothesis
D. True . Alpha will be greater than p-value . Therefore we will reject .
probability that a randomly chosen college student either has a job or lives on campus.
What is probability?
- Probability is an area of mathematics that deals with numerical descriptions of how probable an event is to occur or how likely a statement is to be true.
- The probability of an event is a number between 0 and 1, where 0 denotes the event's impossibility and 1 represents certainty.
To find the probability that a randomly chosen college student either has a job or lives on campus:
Given: 85% of college students have a job, 54% live on campus, and 42% have a job and live on campus.
So, out of 100 students, 42 students either has a job or live on campus.
43 college students have a job and 12 live on campus.
So, 43 + 42 + 12 = 85 + 54 - 42
85 + 12 = 139 - 42
97 = 97
Therefore, probability that a randomly chosen college student either has a job or lives on campus.
Know more about probability here:
brainly.com/question/24756209
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Let's look at the multiplication exponent rule.
Meaning that the exponents will add together when the same base is multiplied.
Hope this helps.
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