False , Combining a coin toss and a roll of a die makes a simple event.
In statistics, what does a probability mean?
- The probability serves as a gauge for how likely an event is to occur. It gauges how likely an event is.
- P(E) = Number of Favorable Outcomes/Number of Total Outcomes is the formula for probability.
- Mathematics' study of random events is known as probability, and there are four primary types of probability: axiomatic, classical, empirical, and subjective.
- Since probability is the same as possibility, you could say that it is the likelihood that a specific event will occur.
False , Combining a coin toss and a roll of a die makes a simple event.
A true statement is "For data at the interval level, you CAN calculate meaningful differences between data entries."
Learn more about probability
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<span>The following indicate that a linear model is not the best fit for a dataset:
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• Scatterplot shows a curve pattern.
• Residual plot shows no pattern.
• Correlation coefficient is close to 1 or –1.
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7/10 is equivalent to 3.5/5 is one
Answer:
7
4
Step-by-step explanation:
The <u>actual values</u> are shown on the given graph as <u>blue points</u>.
The <u>line of regression</u> is shown on the given graph as the <u>red line</u>.
From inspection of the graph, in the year 2000 the actual rainfall was 43 cm, shown by point (2000, 43). It appears that the regression line is at y = 50 when x is the year 2000.
⇒ Difference = 50 - 43 = 7 cm
<u>In 2000, the actual rainfall was </u><u>7</u><u> centimeters below what the model predicts</u>.
From inspection of the graph, in the year 2003 the actual rainfall was 44 cm, shown by point (2003, 40). It appears that the regression line is at y = 40 when x is the year 2003.
⇒ Difference = 44 - 40 = 4 cm
<u>In 2003, the actual rainfall was </u><u>4</u><u> centimeters above what the model predicts.</u>