Answer:
Pearson correlation coefficient
Explanation:
The Pearson correlation coefficient, also simply called correlation coefficient measures the linear correlation between two sets of data/variables, independent variables and dependent variable. A correlation coefficient may only be between -1 and 1 where +1 denotes a perfect positive correlation between variables(both variables increase together), 0 is no correlation, and -1 is perfect negative correlation between variables(one decreases while other increases).
Answer:
According to the Central Limit theorem, the distribution is roughly normal
Step-by-step explanation:
The Central Limit Theorem states that for sample sizes above 30 and not withstanding population distribution's shape, the sampling distribution of the sample mean becomes more similar t hat of a normal distribution as the sample size increases;
The size of the sample = 1,000 >> 30
As the sample size approaches infinity, we have;

= 1.5
S.D. = 1.8
n = 1000
Assume μ = 1, we get;

P(z > 1.7568) = 1 - 0.96080 = 0.0392
Therefore, it is very likely that the mean of the population is not larger than the sample mean
Therefore, yes, the Central Limit Theorem say that the distribution of the number of papers published by the individual sampled faculty in the past year is roughly normal
Answer:
1. A triangle weighs more than a square.
2. A triangle could weigh more than a circle.
3. A triangle cannot possibly weigh more than 4 squares and a circle.
Answer: idk the first equation
Step-by-step explanation:
Answer:
B.$120
Step-by-step explanation:
find 8 on the bottom, and go up until you find the dot. then look to the left to see what number matches it on the left side.