Pearson eText Business Statistics: First Course -- Instant Access (Pearson+)
8th Edition
ISBN: 9780136880974
Author: David Levine, David Stephan
Publisher: PEARSON+
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Find the critical values,X2R andX2L, for c=0.90 and n=15.
A.
4.075 and 31.319
B.
6.571 and 23.685
C.
5.629 and 26.119
D.
4.660 and 29.131
Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of
135
to
188
cm and weights of
39
to
150
kg. Let the variable x be the height. The 100 paired measurements yield
x=167.08
cm,
y=81.32
kg,
r=0.254,
and
y=−109+1.07x.
Find the best predicted value of
y
(weight) given an adult male who is
163
cm tall. Use a
0.05
significance level.
The best predicted value of
y
for an adult male who is
163
cm tall is
kg.
(Round to two decimal places as needed.)
Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 135 to190 cm and weights of 39to150kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x̄ =167.89 cm, ȳ = 81.55kg, r=0.414,
P- value=0.000, and ŷ =−103+1.04x. Find the best predicted value of ŷ (weight) given an adult male who is184 cm tall. Use a 0.05 significance level.
The best predicted value of ŷ for an adult male who is 184 cm tall is ___kg.
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- Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130 to 194 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.94 cm, y=81.53 kg, r=0.203, P-value=0.043, and y=−105+1.13x. Find the best predicted value of y (weight) given an adult male who is 150 cm tall. Use a 0.01 significance level. The best predicted value of y for an adult male who is 150 cm tall is __ kg.arrow_forwardHeights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of131 to194 cm and weights of 38 to150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.70 cm, y=81.47 kg, r=0.189, P-value=0.060, and y=−102+1.07x. Find the best predicted value of y (weight) given an adult male who is 145 cm tall. Use a 0.05 significance level.arrow_forwardHeights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 138 to 194 cm and weights of 39to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.48cm, y=81.42kg, r=0.129, P-value=0.201, and y=−105+1.04x. Find the best-predicted value of y (weight) given an adult male who is 147 cm tall. Use a 0.10 significance level. The best-predicted value of y for an adult male who is 147 cm tall is _______kg. (Round to two decimal places as needed.)arrow_forward
- Find the critical values, X2R and X2L, for c=0.90 and n=15. A. 6.571 and 23.685 B. 4.660 and 29.131 C. 5.629 and 26.119 D. 4.075 and 31.319arrow_forward12 Find the critical value tc for a 90% Con fidence lever When the Sampre Size iS 24.arrow_forwardIf u = x1x2 + x2x3+ X3X1, then find the relative percentage error in the computation of u at x1 = 2.104, x2 1.935 and x3= = 0.845.arrow_forward
- Select two different ways to state that the means of two populations have no difference. H0 : =−μ1μ20 H0 : >μ1μ2 H0 : =μ1μ2 H0 : ≠μ1μ2arrow_forwardFind the critical value for n1 = 20, n2 = 25, α = 0.2% and HA: µ ≠arrow_forwardFind the value of each of the following quantities: C(12, 1) C(8,5) = C(6,5) = C(9, 9) = C(5, 1) = C(10, 1) = = 0 ptsarrow_forward
- Let x = day of observation and y = number of locusts per square meter during a locust infestation in a region of North Africa. I need help with (c) and (d)arrow_forwardIdentify the estimates and estimators from the model (p1). What is thedifference between estimates and estimators?arrow_forwardCustomers arrive at a milk booth for the required service. Assume that the inter-arrival and service times are constant and are given by 1.2 and 3 time units, respectively. Simulate the system by hand computations for 18 time units. Assume that the system starts at t=0.i. What is the average waiting time per customer?ii. What is the average waiting time per customer for those who must wait?iii. What is the percentage idle time of the facility?arrow_forward
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