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Binomial distribution

Suppose that 72% of a certain population of drivers regularly use seat belts. You take a simple random sample of 15 of these drivers. What is the probability that the number regularly using seat belts is a) more than 10 b) at least 11 c) 7 or more

Subject:

Statistics

Topic:

All Topics

Posting ID:

3641

OTA ID:

102799

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Formulating a hypothesis and classifying the type of error.

A manufacturer of stereo systems has a production line that produces an average of 100 stereo systems per day. Because of new government regulations, a new safety device has been installed, which the manufacturer believes will reduce average daily output. A sample of 49 days output after the installation of the safety device yielded an average output per day of 99.2 systems, with a sample standard deviation 4.85. a) Formulate the appropriate null and alternative hypotheses to test the manufacturer's belief. b) At the 5% level of significance, is there sufficient evidence to support the manufacturer's belief? Draw a graph of your rejection region. In no more than one sentence, expla... click for more

Subject:

Statistics

Topic:

All Topics

Posting ID:

3733

OTA ID:

103058

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Stats tests

I am looking for the appropriate statistical test(s) to run on some data. I am trying to find out whether there is any significant differences in 2 groups of people (full-time workers and part-time workers) who all took a customer service survey. The survey scores the person on 8 subscales of customer service, plus on a total score. I am trying to find out whether there are difference between the part-timers and the full-timers on each of the individual scales and on the total score. What tests should I run to determine this? (I have SPSS at home.) Please provide answer and point to resources if needed.

Subject:

Statistics

Topic:

All Topics

Posting ID:

3752

OTA ID:

101733

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Calculating the probability using mean and standard deviation.

The weights of medium oranges packaged by an orchard are normally distributed with a mean of 14 ounces and a standard deviation of 2 ounces. The weights of large oranges are normally distributed with a mean of 18 ounces and a standard deviation of 3 ounces. If we select, at random, one each of the medium and large oranges, determine the probability the medium orange weighs more than the large.

Subject:

Statistics

Topic:

All Topics

Posting ID:

3796

OTA ID:

101733

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Working with time series in multiple regression.

What method has been used to transform Model 1 to Model 2? Equations for Model 1 and Model 2 are as follows: Model 1 Ct = 26.19 + 0.6428GNPt - 0.4398Dt + et Model 2 Ct /GNPt = 25.92(1/GNPt)- 0.4598(Dt/GNPt)+ et C represents Consumption expenditures GNP represents Gross National Product D represents defense spending Sample is quarterly from 1960 to 1969 (time series). Test for first order serial correlation.

Subject:

Statistics

Topic:

All Topics

Posting ID:

3801

OTA ID:

101733

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