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To find the necessary sample size for a given level of confidence and accuracy of measurement.
My mgr needs information. I need to determine if a new product is worth marketing. At least 85 percent of the public must express interest in the product and for those that do the average cost they are willing to pay must be at least $47.50.
I survey 50 potential consumers regarding their interest in the product, 34 express an interest in purchasing it. The maximum price each would be willing to pay is shown below.
Maximum Prices
47
62
46
43
53
34
54
45
35
65
36
32
31
25
38
37
56
48
42
63
How large should the sample be if I want to maintain a 95 percent level of confidence and suffer a maximum error of $2.00 in my estimate of the highest price consumers are willing to pay?
To test whether there is any association between two variables using Chi-Square test for independence.
Determine percentage of employees has 5 dependents? Of all employees which have at least one dependent, determine percentage has more than one?
Using the .05 level of significance: a) Is there a difference among types of gasoline? b) Is there a difference in the cars?
At 95% confidence, test to determine if more than 21% of the population will like the new soft drink.
Scores on the Math Achievement Test form a normal distribution with a mean of u = 300 and a standard deviation of a = 100. What score separates the top 10% of the distribution from the rest.
Recognize and explain potential threats (up to 3) to external validity.
Probability using Z-score.Find the probabilities that a random variable Z having a standard normal distribution will take on a value.
The mean top of knee height of a sitting mate is 20.7 in.
Assume duration of human pregnancies follow mound-shaped distribution with mean of 266 days and the standard deviation of 16 days.
What is the probability of finding exactly four watch soap operas?
What is your conclusion regarding null hypothesis?
Be certain to mention the direction of the relationship, the strength of the relationship, and whether our findings are statistically significant
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