Answer:
H1 : μ < 1225
Step-by-step explanation:
The alternative hypothesis in carrying out a statistical test could be explained as a notion which aims to displace or rival an initial position, the null hypothesis.
When declaring an hypothesis, the statement compares the initial or population mean in the hypothesis statement and not the result or outcome of the sample statistic.
In the scenario above :
The null is of the notion that :
H0 : μ = 1225 ;
Hence, the stance of the alternative which is that the mean is lower or less will be written as :
H1 : μ < 1225
There is a video on khanacademy, search "rationalize the denominator." Then instead of getting the answer you will learn how to do it and be able to do it on other problems in the future.
Answer:
True
Step-by-step explanation:
The variable overhead rate variance refers to the difference in two variables.
The Variables are
1. The actual variable manufacturing overhead
2. The expected variable overhead given the number of hours worked
Labor rate variance is evaluated by
AH(AR - SR)
AH = actual hours
AR = actual rate
SR = standard rate.
The variable overhead rate variance is also calculated the same way except that it replaces the direct labor rates with variable overhead rates
Answer:
112
Step-by-step explanation:
The true statements are
The mean is near the median.
The mean is the best measure of center.
The five-number summary is the best measure of variation
<h3>What is a histogram? </h3>
A histogram is used to represent data graphically. The histogram is made up of rectangles whose area is equal to the frequency of the data and whose width is equal to the class interval.
If the mean is greater than the median, the histogram would be skewed to the right. If the mean is less than the median, the histogram would be skewed to the left.
To learn more about histograms, please check: brainly.com/question/14473126
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