X<span>≥4 . x is greater than or equal to 4
</span>
Answer:
The correlation between sales and advertising is positive.
Step-by-step explanation:
For every $35 spent on advertising, sales increase by $1
Is FALSE, since y = 500 + 35 x $35, sales increase more than $1
Even if no money is spent on advertising, the company realizes $35 of sales
Is FALSE, if no money is spent, the sales amount to $ 500 (when X = 0)
The coefficient of correlation between sales and advertising is 0.81
Is FALSE, since R² = 0.9. The coefficient of correlation = R = 0.94, not 0.81
The answer us on this site
https://in.answers.yahoo.com/question/index?qid=20080413224438AAtekxD
Answer:
6.6072 >6.6>6.09>6.009
Step-by-step explanation:
I believe that is it
Answer:
<em>P= 0.0606 = 60.6%</em>
Step-by-step explanation:
<u>Binomial Distribution
</u>
The required probability will be calculated by using the Binomial Distribution with n=385 independent events each with a probability of success equal to p=0.0362 with k=8 or fewer successes.
The PMF (Probability Mass Function) for the Binomial Distribution is
Where
We need to compute a range of probabilities from k=8 to k=0. We'll show how to compute for k=8
When the probability is cumulative and a high number of calculations need to be performed, we use automated tools (like Excel, digital calculator, etc) to compute the sum. We used Excel's BINOMDIST(8, 385, 0.0362, 1) function to get the total probability to get