A large company wants to administer a satisfaction survey to its current customers. Using their customer database, the company
1 answer:
Answer: Random
Step-by-step explanation:
- In statistics , a random sampling technique is a simple sampling technique in which researcher choose 'n' individuals from N population , such that the chances for each individual to get selected are equal as
.
Here , the company wants to administer a satisfaction survey to its current customers.
So , Population → All current customers
Using their customer database, the company randomly selects 80 customers , it means each customer had the same chance to get selected.
Hence, the type of sampling is used : Random sampling
Hence, the correct answer is "Random" .
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Answer:
0.62% probability that randomly chosen salary exceeds $40,000
Step-by-step explanation:
Problems of normally distributed distributions are solved using the z-score formula.
In a set with mean and standard deviation
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this question:
What is the probability that randomly chosen salary exceeds $40,000
This is 1 subtracted by the pvalue of Z when X = 40000. So
has a pvalue of 0.9938
1 - 0.9938 = 0.0062
0.62% probability that randomly chosen salary exceeds $40,000
Answer:
The value of the test statistic is
Step-by-step explanation:
The null hypothesis is:
The alternate hypotesis is:
Our test statistic is:
In which X is the sample mean, is the value tested at the null hypothesis,
is the standard deviation(square roof of the variance) and n is the size of the sample.
In this problem, we have that:
So
The value of the test statistic is