Fríða wants to explore the average number of restaurants tourists at a hostel visit their stay. Her theory is that well dressed tourists (at her opinion) visit more restar than those worse dressed. She conducts an experiment where she picks 100 guest random, asks them how many restaurants they have visited and after that she rec well they are dressed (on a scale from one to ten). What is the main statistical pro Fríðas experiment? Please explain 1. There is no correction for placebo effects. 2. Experimenters bias can occur. 3. Sampling bias can occur. The pumber of particinants will be small and statistical tests will therefore

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Fríða wants to explore the average number of restaurants tourists at a hostel visit during
their stay. Her theory is that well dressed tourists (at her opinion) visit more restaurants
than those worse dressed. She conducts an experiment where she picks 100 guests at
random, asks them how many restaurants they have visited and after that she records how
well they are dressed (on a scale from one to ten). What is the main statistical problem with
Fríðas experiment? Please explain
1. There is no correction for placebo effects.
2. Experimenters bias can occur.
3. Sampling bias can occur.
4. The number of participants will be small and statistical tests will therefore have a
small power.
5. R-command:
There arrive at average 4 guests at the Blue Lagoon at each minute on a typical Wednesday
in May. What is the probability of exactly four guests arriving the next minute?
1. 19.5 %
2. 50 %
3. 62.9 %
4. 25 %
Transcribed Image Text:Fríða wants to explore the average number of restaurants tourists at a hostel visit during their stay. Her theory is that well dressed tourists (at her opinion) visit more restaurants than those worse dressed. She conducts an experiment where she picks 100 guests at random, asks them how many restaurants they have visited and after that she records how well they are dressed (on a scale from one to ten). What is the main statistical problem with Fríðas experiment? Please explain 1. There is no correction for placebo effects. 2. Experimenters bias can occur. 3. Sampling bias can occur. 4. The number of participants will be small and statistical tests will therefore have a small power. 5. R-command: There arrive at average 4 guests at the Blue Lagoon at each minute on a typical Wednesday in May. What is the probability of exactly four guests arriving the next minute? 1. 19.5 % 2. 50 % 3. 62.9 % 4. 25 %
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