Answer:
10%
Step-by-step explanation:
The total population of students will be equal to the sum of both those who wore the silly hat and those who didn't hence
Total students= 74+666=740
Number of students who wore silly hat is given as 74 hence when expressed as a percentage of the total students' population we get that
percentage of the students wore a silly hat=
Therefore, 10% of students wore a silly hat last Tuesday
Answer:
The difference of the means is not significant because the re-randomizations show that it is within the range of what could happen by chance.
Step-by-step explanation:
Given that:
The treatment group using Spray A reported a mean of 3.5 mosquito bites.
The treatment group using Spray B reported a mean of 5.6 mosquito bites.
After the data are re-randomized; the differences of the means are shown in the dot plot. The dot plot is attached in the file below;
The best conclusion that can be make based on the data from the dot plot is :
The difference of the means is not significant because the re-randomizations show that it is within the range of what could happen by chance.
Answer:
1. Randomly divide the available set of observations into two
parts, a training set and a validation set or hold-out set.
2. Fit the model on the training set.
3. Use the resulting fitted model to predict the responses for the
observations in the validation set.
4. The resulting validation set error rate is typically assessed using
the MSE in the case of a quantitative response. This provides
an estimate of the test error rate.
Answer:
Step-by-step explanation:

Equation 1: x-intercept is (9,0) and the y-intercept is (0,3).
Equation 2: x-intercept is (-2,0) and the y-intercept is (0,4).