Q:
A biologist wants to know the mean weight of fish in a particular lake. She traps a random selection of
18 fish and weighs each of them. She finds that \( \bar{x}-327 \) grams and \( s=31 \) grams. Construct a \( 90 \% \)
confidence interval for the mean weight of fish in the lake. Round the boundaries of the interval to one
decimal place.
The \( 90 \% \) confidence interval is:
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Q:
A sample of 16 small bags of the same brand of candies was selected. Assume that the
population distribution of bag weights is normal. The weight of each bag was then recorde
The mean weight was \( \mu= \) two grams with a standard deviation of \( \sigma=0.12 \) grams. The
opulation standard deviation is known to be \( \sigma=0.1 \) grams. Construct a \( 90 \% \) confidence
nterval for the population mean weight of the candies.
I. State the confidence interval.
II. Sketch the graph.
III. Calculate the error bound.
Q:
A set of final examination grades in an introductory statistics cours
is normally distributed, with a mean of 73 and a standard deviation
8 .
(a) What is the probability that a student scored below 91 on this exam
(b) What is the probability that a student scored between 65 and 89 ?
(c) The probability is \( 5 \% \) that a student taking the test scores higher th
what grade?
(d) If the professor grades on a curve (i.e., gives A's to the top \( 10 \% \) of
class, regardless of the score), are you better off with a grade of 81
this exam or a grade of 68 on a different exam, where the mean is 6
and the standard deviation is 3? Show your answer statistically and
explain.
Q:
Exercice 3: \( \quad(\quad / 2 \) pts)
Un pâtissier a vendu l'an dernier 10000 gâteaux à \( 10 € \)
et 100 gâteaux de mariage à \( 1000 € \).
Cette année, il vend 10000 gâteaux à \( 8 € \) et
100 gâteaux de mariage à \( 1300 € \).
II dit: : "Mes clients sont contents: le prix médian de
mes gâteaux a baissé. Mon comptable est content:le
prix moyen de mes gâteaux a augmenté.»
Que peut-on penser de ces affirmations?
Q:
5 The data below shows the number of aces served by a player in each of their grand slam
tennis matches for the year.
\( 15 \quad 22 \)
11
17
15
Q:
5 The data below shows the number of aces served by a player in each of their grand slam
tennis matches for the year.
\( \begin{array}{lllllllllllllll}15 & 22 & 11 & 17 & 25 & 25 & 12 & 31 & 26 & 18 & 32 & 11 & 25 & 32 & 13 \\ \text { a } & 10\end{array} \)
Construct a stem-and-leaf plot for the data.
b From the stem-and-leaf plot, find the mode and median number of aces.
c is the data symmetrical or skewed?
Q:
5 The data below shows the number of aces served by a player in each of their grand slam
tennis matches for the year.
\( \begin{array}{lllllllllllll}15 & 22 & 11 & 17 & 25 & 25 & 12 & 31 & 26 & 18 & 32 & 11 & 25 \\ 32 & 13 & 10\end{array} \)
a Construct a stem-and-leaf plot for the data.
b \( \begin{array}{ll}\text { From the stem-and-leaf plot, find the mode and median number of aces. }\end{array} \)
Q:
2) What is the sum of squared errors for the
regression line give by \( Y=2+3 X \) ?
Q:
What are the squared errors for the regression line
given by \( Y=2+3 X \) ? Type as a comma-
separated list: \#, \#, \#, \( \# \)
Q:
5. In a group of consultant or sales manager, it was found that 80 are
mantantants, 110 are management consultants and 130 are sales managers, 25
are accountants as well as sales managers, 70 are management consultants as
well as sales managers, 10 are accountants as well as management
consultants as well as sales managers. Find the number of those people who
are accountants as well as management consultanis but not sales managers.
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