Hey there,
Question : <span>In which of the scenarios below can you reverse the dependent and independent variables while keeping the interpretation of the slope meaningful
Answer :I have come across this question before.. So I know the answer :D
</span><span>As the time spent swimming increases, the number of calories burned in the body increases.
Hope this helps :))
<em>~Top♥</em>
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Answer:
Step-by-step explanation:
a) The null hypothesis is the hypothesis that is assumed to be true. It is an expression that is the opposite of what the researcher predicts.
The alternative hypothesis is what the researcher expects or predicts. It is the statement that is believed to be true if the null hypothesis is rejected.
From the given situation,
Carpetland salespersons average $8000 per week in sales. This is the null hypothesis.
H0: µ = 8000
Steve hopes that the results of a trial selling period will enable him to conclude that the compensation plan increases the average sales per salesperson. This is the alternative hypothesis.
Ha: µ > 8000
b) A type I error occurs when a true null hypothesis is rejected.
In this situation, a Type I error would occur if it was concluded that the new compensation plan provides a population mean weekly sales greater than 8000 (correct) when in fact it does not.
c) a Type II error would occur if it was concluded that the new compensation plan does not provide a population mean weekly sales greater than 8000 when in fact, it does.
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