Correlation between x & y is 0.6125.
In probability theory and statistics, the cumulative distribution function of a real-valued random variable X, or simply the distribution function of X weighted by x, is the probability that X takes a value less than or equal to x.
The cumulative distribution function (CDF) of a random variable X is defined as FX(x)=P(X≤x) for all x∈R. Note that the subscript X indicates that this is the CDF of the random variable X. Also note that the CDF is defined for all x∈R. Let's look at an example.
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Answer:
- Implied population is all listeners of the radio talk show
- the variable is opinion of a listener
- Yes, bias is voluntary response. Those with the strongest opinions are most likely to call in.
Step-by-step explanation:
Radio talk show host asked listeners to respond therefore the population is all listeners of the radio talk show.
The variable is the response "yes" or "no"
There is voluntary response bias, because the respondents are volunteered to answer, therefore sample is consisted of self-selected listeners.
Answer:
C
Step-by-step explanation:
Since it is only addition and subtraction, you can rearrange the order of the equations. This is what the three eqautions will look like after the arrangement:
1.6z + 8.3 z = ? (9.9z)
6.2y - 5.1y = ? (1.1y)
4.3x + 5.5x = ? (9.8x)
Then you just add and subtract.
10^4 = 10,000
9 x 10,000 = 90,000
