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Using one proportion z test to determine whether or not to support the claim.
A delivery truck brings in a shipment of tvs for a school. The assistant principal who ordered them wants to determine if the tvs 20 pounds on average as the company claims. This is important because tvs that are heavier than 20 pounds can cause problems for tvs stands. She calls on the stats teacher to help. He takes a random sample of 10 tvs and finds = 20.3 (σX = 1). What DECISION should the educators make in regards to accepting the tvs?
a) There is little evidence to reject H0, therefore they conclude the tvs are 20 pounds on average.
b) There is little evidence to reject H0, therefore they accept the tvs.
c) There is fairly storng evidence to reject H0, the educators send the tvs back.
d) There is little evidence to reject H0, therefore there is no decision.
Find out annual break-even volume for the Rolling Creek Textile Mill.
We can think of this as the value of mew that maximizes f(y), the probability that our observed value of y occurs.
Compare these with the percentages specified by Tchebysheff's Theorem.
a. Solve using the p value approch. b. Solve using the classical approch.
Suppose the weights of full boxes of a certain kind of cereal are normally distributed with a population standard deviation of 0.29 ounces.
If we fit the least-squares line to the 12 data points (one for each month) we obtain the following results from a software package. Notice that temperature is taken as the explanatory variable and crawling age as the response.
Fit a linear regression model for bp against sodium. Do you think this is a model with a good fit? Why?
High levels of glucose in the blood are indications of diabetes, which is becoming more prevalent in the United States. Diabetes can lead to many complications such as blindness and heart disease. A random sample of 180 individuals had their blood su..
Compute the mean of the sampling distribution? Compute the standard deviation of sampling distribution?
For each of the following problems, assume that the homogeneity of variance assumption has not been met and that you will need to use the adjusted Welch statistic.
Run a regression of Y on X in Excel and turn in the output with a note explaining what the coefficients {correlation coefficient (multiple R), standard error, t-statistic and F-statistic} mean.
In a regression model involving 30 observations, the following estimated regression equation was obtained:
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