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1. A certain brand of Green Energy light bulbs was advertised as having an average illumination life-span of 2,500 hours. A random sample of 50 bulbs burned out with a mean life-span of 2,470 hours and a sample standard deviation of 140 hours. With a 0.05 level of significance, is the sample mean less than the advertised mean?
2. Given the following data from two independent samples, conduct a one-tailed hypothesis test to determine if the first sample mean is larger than the second sample mean, given a 0.05 level of significance.
n1 = 55 n2 = 46
xbar1= 72 xbar2 = 62
s1=15 s2 = 12
3. A test was conducted to determine whether gender of a spokesperson affected the likelihood that consumers would prefer a new vacuum cleaner. A survey of consumers at a trade show employing a female spokesperson determined that 78 out of 200 customers preferred the product, while 56 of 180 customers preferred the product when a male spokesperson was employed. At the 0.05 level of significance, do the samples provide sufficient evidence to indicate that on the average, fewer consumers prefer a new product when the spokesperson is male?
What type of probability distribution is appropriate for this problem? Determine the probability of getting no calls between eight and nine in the morning. Calculate the probability of getting exactly five calls between eight and nine in the morning
For such groups of 800, would it be unusual to get 687 consumers who recognize the Dull Computer Company name?
You are using a significance level of α = 0.05 to test a claim that p > 0.5. Your sample is a simple random sample of size n = 49. Calculate β for the test, assuming that the true population proportion is 0.7 and showing all work.
It has been reported that 3% of all cars on the highway are traveling at speeds in excess of 70 mph. If the speeds of four random automobiles are measured via radar, what is the probability that at least one car is going over 70 mph?
What is the Bonferroni adjustment? What would the Bonferroni adjustment be for a study with four groups for which a researcher decided to use t-tests?
The data results are based on serum continine levels for each group. The claim is that exposure to tobacco smoke (as second-hand smoke) corresponds to higher levels of cotinine.
The average age of the women was 45.582 with a standard deviation of 5.143. He uses this information to calculate a 95% confidence interval for the differnce in means, (-11.41, -5.422). The best interpretation of this interval is which of the foll..
Calculate the average or the median of the average or medians of the samples and compare it with the average of the population.
What are examples in which regression analysis is used for forecasting? What are some primary and secondary sources of data that may be used in correlation and regression analysis?
Which of the following is the appropriate conclusion from carrying out these multiple comparisons
Anthony is measuring his participants' emotional states in two different ways (self-report and galvanic skin response) in order to gain a greater confidence that he is actually measuring the emotional that he thinks he is.
This exercise is a "what if analysis" designed to determine what happens to the test statistics and interval estimates when elements of the statistical inference change.
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