answer is 4
Step-by-step explanation:
Multiply the sales by the commission rate and add that to the base salary.
45,000 x 0.04 = 1,800
Total pay = 1800 + 380 = $2,180
The random sample of the students is an illustration of sampling
The chi-square test for goodness of fit is inappropriate because the variable under study is not categorical.
<h3>How to determine the reason chi square is not appropriate?</h3>
The dataset is given as:
Monday 34
Tuesday 29
Wednesday 32
Thursday 28
Friday 19
The variable of the above dataset is a not a categorical dataset.
One of the conditions of the chi-square test for goodness of fit test is that the variable under study must be categorical.
Hence, the chi-square test for goodness of fit is inappropriate because the variable under study is not categorical.
Read more about chi-square test at:
brainly.com/question/19959558
Answer:
Predicted value YHat is a symbol used to represent the predicted equation for a line of best fit in a linear regression. The equation usually take the form of 'a' as the y- intercept and 'b' as the slope of the graph. It is calculated from estimated regression equations for the line of best fit.
While outcome of experiment is the total of all possible results from an experiment.
Step-by-step explanation:
Answer:
Jay's estimate is closer to the actual weight of the basketball
Step-by-step explanation:
The standard weight of an NBA basketball is 1.4 pounds.
Judging the accuracy of Jay's and Shawna's answer based on their percentage error when compared with the standard, we have that Jay's answer has a lower error as shown below
Error = (Standard value - Estimated value)/ Standard Value ×100
Error in Jays answer = 
× 100 = 64.28 %
Error in Shawna's answer = 
× 100 = 96.42%
From this, It is obvious that Jay's answer has a lower percentage error when compared to the actual value.
