Records show that students score an average of 850 points on an achievement test. A test prep company believe their students will have different scores. To test this hypothesis, they sample 1000 students and find a sample mean of 856 points. They perform the hypothesis test at a confidence level of 95%. a. State the null and alternative hypothesis mathematically b. What is the significance level? c. If 856 is a significantly significant score after being transformed into a z statistic, where will it lie in the distribution below? In area 1, area 2 or area 3?
Records show that students score an average of 850 points on an achievement test. A test prep company believe their students will have different scores. To test this hypothesis, they sample 1000 students and find a sample mean of 856 points. They perform the hypothesis test at a confidence level of 95%. a. State the null and alternative hypothesis mathematically b. What is the significance level? c. If 856 is a significantly significant score after being transformed into a z statistic, where will it lie in the distribution below? In area 1, area 2 or area 3?
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Records show that students score an average of 850 points on an achievement test. A test
prep company believe their students will have different scores. To test this hypothesis, they
sample 1000 students and find a sample mean of 856 points. They perform the hypothesis test
at a confidence level of 95%.
a. State the null and alternative hypothesis mathematically
b. What is the significance level?
prep company believe their students will have different scores. To test this hypothesis, they
sample 1000 students and find a sample mean of 856 points. They perform the hypothesis test
at a confidence level of 95%.
a. State the null and alternative hypothesis mathematically
b. What is the significance level?
c. If 856 is a significantly significant score after being transformed into a z statistic, where will
it lie in the distribution below? In area 1, area 2 or area 3?
it lie in the distribution below? In area 1, area 2 or area 3?

Transcribed Image Text:The image features a standard normal distribution curve, often referred to as a bell curve, which is symmetrical in shape. This type of curve is used in statistics to represent the distribution of values, scores, or measurements.
### Breakdown of the Curve:
- **Center of the Curve (Area 2):**
- Encompasses 95% of the data within the distribution.
- This central area represents the mean (average) with standard deviations typically ranging from -2 to +2.
- **Tails of the Curve (Area 1 and Area 3):**
- Each tail (Area 1 on the right and Area 3 on the left) represents 2.5% of the distribution.
- This means that each tail contains the extreme values on either side of the mean.
- Often used to identify outliers or rare events in a dataset.
### Usage in Statistics:
The curve is utilized in various statistical analyses, including hypothesis testing and confidence interval estimation. The 95% area indicates a common confidence level used to assess the certainty or reliability of the statistical conclusions.
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