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A sample of 31 rockmelons (cantaloupes) has amean of 551 grams and standard deviation of 108 grams. What is the 99% prediction interval? a.501.04 -

A sample of 31 rockmelons (cantaloupes) has amean of 551 grams and standard deviation of 108 grams. What is the 99% prediction interval?

a.501.04 - 600.96 grams

b.249.25 - 852.75 grams

c.281.37 - 820.63 grams

d.497.66 - 604.34 grams

The daily revenue from a vending machine that dispenses junk food is uniformly distributed between $188 and $488. What is the probability that on a given day the revenue will be between$224 and$347?

a.41%

b.12%

c.53%

d.58%

A machine breaks down an average of 5 times per year. What is the probability that the machine will break down only once this year?

a.

0.0337

b.

0.2000

c.

0.0819

d.

0.1755

In a survey it was determined that 44% of new customers learned about a business through social media. Assuming this value is the population proportion, how many responses were required to ensure the population proportion is within 5% of this number with 95% confidence?

a.1654

b.654

c.329

d.379

In a toss of two coins, what is the probability of at least one head?

a.1/8

b.3/4

c.1/2

d.3/8

Applications of Pareto analysis include

a.

Calculating percentages

b.

Inventory management

c.

Analyzing scatter plots

d.

Filtering records

Sorting data is a necessary step in which of the following types of business analyses?

a.

Visualization

b.

All types of business analyses

c.

Pareto Analysis

d.

Descriptive statistics

Types of Sparklines include

a.line, column and scatter

b.line, column and win/loss

c.line and column

d.line, bar and column

The weight of a container of fresh produce from Fred's Farms has a normal distribution with mean 98 kg and standard deviation 10 kg. What is the probability that a shipment of 25 containers will have an average weight greater than 99 kg?

a.0.31

b.0.46

c.0.69

d.0.54

Extracting a subset of records in a table based on a set of criteria is known as

a.

Pareto Analysis

b.

Sorting

c.

Averaging

d.

Filtering

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