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:
reeee
Step-by-step explanation:
Answer:
Step-by-step explanation:
We are given the following in the question:
Number of locusts on first day = 4600
Gain in locust population every 2.4 days =

Thus, we can write the following function to model locust population in t days.

is the required function.
L(t) is a dependent function on t, L(t) is locusts population and t is amount of time in days.
Answer:
a. Fred's margin of error is larger than Ted's.
Step-by-step explanation:
Margin of error of a confidence interval:

In which z is related to the confidence level(the higher the confidence level the larger the value of z)
is the standard deviation of the population and n is the size of the sample.
From this, we have that:
A higher confidence level leads to a larger margin of error.
A larger sample size leads to a smaller margin of error.
In this question:
Same confidence level.
Fred's sample is smaller, so his margin of error will be larger.
The correct answer is given by option a.