<span>the distribution is 43
</span>
Answer:
No, the line does not pass (0,0).
No, the line does not pass (0,0)
Brainliest Appreciated!
The tree diagram for the probability is shown below
P(Clay|Positive) is read 'Probability of Clay given the result is Positive'.
This is a case of conditional probability.
The formula for conditional probability is given as
P(Clay|Positive) = P(Clay∩Positive) ÷ P(Positive)
P(Clay∩Positive) = 0.21×0.48 = 0.1008
P(Positive) = P(Rock∩Positive) + P(Clay∩Positive) + P(Sand∩Positive)
P(Positive) = (0.53×0.53) + (0.21×0.48) + (0.26×0.75)
P(Positive) = 0.2809 + 0.1008 + 0.195
P(Positive) = 0.5767
Hence,
P(Clay|Positive) = 0.1008÷0.5767 = 0.175 (rounded to 3 decimal place)
Answer:
<u>15%</u> percent of the bill was her tip.
Step-by-step explanation:
Given:
Audrey gave a $0.90 tip to a waitress for serving a meal costing $6.00.
Now, to find the percent of the bill was her tip.
The bill was = $6.00.
The tip she gave = $0.90.
Now, to get the percent of the bill was her tip:




Therefore, 15% percent of the bill was her tip.
Answer:
a. positive.
Step-by-step explanation:
Matching and discordant pairs are used to describe the relationship between pairs of observations. To calculate matched and discordant pairs, data is treated as ordinal values. Therefore these are suitable for your application. The number of concordant and discordant pairs is used in Kendall's tau calculations, whose purpose is to determine the relationship among two ordinal variables.
If the direction of the classifications is the same, the pairs are concordant.
A pair of observations is discordant, suppose the subject being with an increased value on one variable is lower on the other.
SO; When discordant pairs exceed concordant pairs in a P-Q relationship, Kendall's tau reports a(n) <u>positive</u> association between the variables under study.