List at least 3 ways statistics can be misleading

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Reference no: EM133450429

Questions:

1.Describe the difference between qualitative and quantitative data.

2.Describe the difference between discrete and continuous data.

3.Describe the difference between a sampling error and nonsampling error.

4.Describe the difference between the two types of nonsampling error, random error and systematic error.

5.Give 1 example of a bias sampling and explain why is bias.

6.Give an example when you may use inferential statistics.

7. Jenny asks 25 out of 75 students in a math course about their feelings on the midterm. Determine whether this is a population or sample and next describe whether the survey is quantitative or qualitative.

8.Gary surveyed all 50 people on the top floor and asked them about their favorite movie. Determine whether this is a population or sample and next describe the parameter or statistic.

9.Johnny is studying the most commonly purchased vegetables in a small town. He samples the population by dividing the town into blocks and selects every other house from each block. He then collects data from the sample. What type of sampling is used?

10.Betsy is collecting data on the amount of time shoppers spend inside of a particular large department store. She stands outside the department store and divides participants by gender, then she randomly selects a participant who exits. What type of sampling is used?

11.David wants to study the favorite cuisine for all people in his city. He sits outside a popular restaurant and collects data from everyone who enters. What type of sampling is used?

12.An airline wants to survey some of its passengers to collect data on flight satisfaction. The airline divides flights by destination and randomly selects and surveys passengers from each flight. What type of sampling is used?

13.List at least 3 ways statistics can be misleading.

Reference no: EM133450429

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