Answer:45 MPH
Step-by-step explanation: Speed, distance and time can be calculated using a magic triangle. D (the distance) goes in the top of the triangle, S (speed) goes in the bottom left of the triangle and T (time) goes in the bottom right of the triangle.
In order to list them from least to greatest is by finding the smallest number first. Negative numbers are always less than positive, so -3/8 and -0.65 have to be ordered first. -3/8 or -0.38 is greater than -0.65, so -0.65 would be first. Then the next negative which is -0.65 comes next. the last two fractions are 2/4 or 1/2 or 0.5 and 5/16 or 0.31. 0.5 is greater than 0.31, so the order is -0.65, -3/8, 5/16, and 2/4. Hope this helps!
My dude there is no problem
Using the z-distribution, it is found that the 90% confidence interval for the true proportion of club members who use compost is (0.392, 0.508).
<h3>What is a confidence interval of proportions?</h3>
A confidence interval of proportions is given by:
In which:
is the sample proportion.
In this problem, we have a 90% confidence level, hence
, z is the value of Z that has a p-value of 
, so the critical value is z = 1.645.
The estimate and the sample size are given by:
Hence, the bounds of the interval are:
More can be learned about the z-distribution at brainly.com/question/25890103
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Answer:
Methods of obtaining a sample of 600 employees from the 4,700 workforce:
Part A: The type of sampling method proposed by the CEO is Convenience Sampling.
Part B: When there are equal number of participants in both campuses, stratification by campus would give a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender. Another method to ensure that stratification by campus gives a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender is to ensure that the sample is proportional to the proportion of each campus to the whole population or workforce.
Step-by-step explanation:
A Convenience Sampling technique is a non-probability (non-random) sampling method and the participants are selected based on availability (early attendees). The early attendees might be different from the late attendees in characteristics such as age, sex, etc. Therefore, sampling biases are present. All non-probability sampling methods are prone to volunteer bias.
Stratified sampling is more accurate and representative of the population. It reduces sampling bias. The difficulty arises in choosing the characteristic to stratify by.
