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3 years ago

12

Hey Friends inbox me yr

1 answer:

suter [353]3 years ago

8 0

Answer:

sup dude

Step-by-step explanation:

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An analyst for a large credit card company is going to conduct a survey of customers to examine their household characteristics.

zheka24 [161]

Answer:

We can conclude that the value of 1732 is a statistic who represent the sample selected. And the value of 1622 represent the population mean from all the customers with the previous data.

Step-by-step explanation:

Previous concepts

A statistic or sample statistic "is any quantity computed from values in a sample", for example the sample mean, sample proportion and standard deviation

A parameter is "any numerical quantity that characterizes a given population or some aspect of it".

Solution to the problem

For this case the analyst knows that from previous records that the mean for all the customers (that represent the population of interest) is $\mu = 1622$

He have a random sample of n =500 customers from the previous month and he knows that 1732 represent the sample mean for the selected customers calculated from the following formula:

$\bar X = \frac{\sum_{i=1}^{500} X_i}{500}= 1732$

So on this case we can conclude that the value of 1732 is a statistic who represent the sample selected. And the value of 1622 represent the population mean from all the customers with the previous data.

6 0

3 years ago

Imagine that you have entered the following distribution of scores into the program: 7, 9, 6, 3, 7, 8, 4, 10, 7, 9. The mean of

ozzi

Answer:

3

Step-by-step explanation:

Mean refers to the average value of the set of data.

It is the central value of the set of data.

Another word for Mean is average.

Given scores:7, 9, 6, 3, 7, 8, 4, 10, 7, 9

Solution:

Sum of observations = $7+ 9+ 6+ 3+ 7+ 8+ 4+ 10+ 7+ 9=70$

Number of observations = 10

Mean = Sum of observations/Number of observations = $\frac{70}{10}=7$

If observation 3 is removed:

Sum of observations = $7+ 9+ 6+ 7+ 8+ 4+ 10+ 7+ 9=67$

Number of observations = 9

Mean = Sum of observations/Number of observations = $\frac{67}{9}=7.44$

If observation 4 is removed:

Sum of observations = $7+ 9+ 6+ 3+ 7+ 8+ 10+ 7+ 9=66$

Number of observations = 9

Mean = $\frac{66}{9}=7.3$

If observation 6 is removed:

Sum of observations = $7+ 9+ 3+ 7+ 8+ 4+ 10+ 7+ 9=64$

Number of observations = 9

Mean = $\frac{64}{9}=7.1$

If observation 7 is removed:

Sum of observations = $9+ 6+ 3+ 8+ 4+ 10+ 9=49$

Number of observations = 7

Mean = $\frac{49}{7}=7$

If observation 8 is removed:

Sum of observations = $7+ 9+ 6+ 3+ 7+ 4+ 10+ 7+ 9=62$

Number of observations = 9

Mean = $\frac{62}{9}=6.9$

If observation 9 is removed:

Sum of observations = $7+ 6+ 3+ 7+ 8+ 4+ 10+ 7=52$

Number of observations = 8

Mean = $\frac{52}{8}=6.5$

If observation 10 is removed:

Sum of observations = $7+ 9+ 6+ 3+ 7+ 8+ 4+ 7+ 9=60$

Number of observations = 9

Mean = $\frac{60}{9}=6.7$

Therefore, mean of this distribution of scores would be changed the most if a score 3 was removed from the data set.

6 0

4 years ago