Q:
What is a scatter plot?
Q:
What is a scatter plot?
Q:
How do you identify the relationship between two variables in a scatter plot?
Q:
What is a scatter plot?
Q:
In a survey of 258 professional athletes, it was found that 122 of them owned a convertible, 117 of them
owned a giant screen TV, and 113 owned a sporting goods store. 21 owned a convertible and a store, 44 owned
a TV and a store, and 66 owned a covertible and a TV. 10 owned all three items.
1. How many athletes did not own any of the three items?
2. How many owned a covertible and a TV, but not a store?
3. How many athletes owned a convertible or a TV?
4. How many athletes owned exactly one type of item in the survey?
5. How many athletes owned at least one type of item in the survey?
231
6. How many owned a TV or a store, but not a convertible?
Q:
In a survey of 258 professional athletes, it was found that 122 of them owned a convertible, 117 of them
owned a giant screen TV, and 113 owned a sporting goods store. 21 owned a convertible and a store, 44 owned
a TV and a store, and 66 owned a covertible and a TV. 10 owned all three items.
1. How many athletes did not own any of the three items?
2. How many owned a covertible and a TV, but not a store?
3. How many athletes owned a convertible or a TV?
4. How many athletes owned exactly one type of item in the survey?
5. How many athletes owned at least one type of item in the survey?
6. How many owned a TV or a store, but not a convertible?
Q:
Con los siguientes datos cálcula la
varianza muestral:
- Lunes: 3 peces
- Martes: 2 peces
- Miércoles: 4 peces
- Jueves: 3 peces
- Viernes: 2 peces
- Sábado: 5 peces
- Domingo: 1 peces
Q:
Con los siguientes datos:
\( \mathrm{N} / 2: 20 \)
\( \mathrm{~L}_{\mathrm{i}:}: 61 \)
\( \mathrm{~A}_{\mathrm{i}}: 8 \)
\( \mathrm{f}_{\mathrm{a}:}: 10 \)
\( \mathrm{f}_{\mathrm{i}:}: 10 \)
Encontrar la mediana en datos
agrupados.
Q:
A normal population has mean \( \mu=62 \) and standard deviation \( \sigma=17 \).
(a) What proportion of the population is greater than 103 ?
(b) What is the probability that a randomly chosen value will be less than 79 .
Round answers to four decimal places.
Part 1 of 2
Q:
A normal distribution has mean \( \mu=60 \) and standard deviation \( \sigma=20 \). Find and interpret the \( z \)-score for \( x=72 \).
The \( z \)-score for \( x=72 \) is \( \square \). So 72 is \( \square \) standard deviations (Choose one) \( \nabla \) the mean \( \mu=60 \).
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