The statistical calculation that researchers use to predict the number of new marriages that will end in divorce is known as the predictive divorce logistic model.
The predictive divorce logistic model is the most common method used in predicting divorce rate in which is the percentage of persons who married in a particular year would divorce at some time before death.
According to the National Center for Health Statistics, it was predicted that 43 percent of marriages normally end during the first 15 years of marriage.
Learn more about the predictive logistic model here:
brainly.com/question/21344316
Answer:
A, B, D, E, F
Step-by-step explanation:
48/64 can be simplified into all of them except C
Answer:
Part A: Based on the information collected, who will have the higher mean annual salary?
College graduates have a higher mean by about $20,000
Part B: If you were to graph this data, what would be important to consider?
The data should be graphed on the same axis and scale so comparisons are possible
Step-by-step explanation:
Euler's method uses the recurrence relation
to approximate the value of the solution
to the ODE
.
With a step size of
, there will only be two steps necessary to find the approximate value of
based on the initial point
. See the attached table below for the computation results.
To demonstrate how the table is generated: Since
, you are using
.
The next point then uses
A) 15t-4 is your answer. Let me know if you have any other questions :)