The population standard deviation for the annual incomes of childcare workers in Texas and in Indiana are estimated as 6200 and 6500, respectively. It is also known that both populations are approximately normally distributed. At the 0.01 level of significance, is there sufficient evidence to support the claim that the mean annual income, H₁, of childcare workers in Texas is less than the mean annual income, μ₂, of childcare workers in Indiana? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternative hypothesis H₁. H O Р S P HO H₁:0 00 (b) Determine the type of test statistic to use. (Choose one) ▼ 0=0 OSO 020 (c) Find the value of the test statistic. (Round to three or more decimal places.) 00 >O ? (d) Find the p-value. (Round to three or more decimal places.) 0 (e) Can we support the claim that the mean annual income of childcare workers in Texas is less than the mean annual incom of childcare workers in Indiana? Yes No + 7 O

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
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Author:Carter
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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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Español
A nationwide job recruiting firm wants to compare the annual incomes for childcare workers in Texas and Indiana. Due to recent trends in the childcare industry,
the firm suspects that the mean annual income of childcare workers in Texas is less than the mean annual income of childcare workers in Indiana. To see if this
is true, the firm selected a random sample of 25 childcare workers from Texas and an independent random sample of 25 childcare workers from Indiana and
asked them to report their mean annual income. The data obtained were as follows.
Annual income in dollars
Texas
30111, 35543, 34245, 42733, 40077, 25500, 35332, 28216, 38243, 37548, 34262, 31505, 37073, 31673, 33941, 32640, 27860, 29796,
32562, 39692, 35943, 40878, 48072, 29502, 32661
Indiana
42600, 30305, 34336, 42456, 34420, 30744, 38497, 38950, 40314, 32071, 37746, 43031, 37645, 41701, 43402, 33090, 39851, 36107,
45694, 32670, 39027, 39030, 43787, 44748, 40842
Send data to calculator V
Send data to Excel
Aa
The population standard deviation for the annual incomes of childcare workers in Texas and in Indiana are estimated as 6200 and 6500, respectively. It is also
known that both populations are approximately normally distributed. At the 0.01 level of significance, is there sufficient evidence to support the claim that the
mean annual income, μ₁, of childcare workers in Texas is less than the mean annual income, μ2, of childcare workers in Indiana? Perform a one-tailed test. Then
complete the parts below.
Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.)
(a) State the null hypothesis Ho and the alternative hypothesis H₁.
O
р
S
Ho
H₁ :0
(b) Determine the type of test statistic to use.
0=0 ☐≤O 0²0
(Choose one) ▼
(c) Find the value of the test statistic. (Round to three or more decimal places.)
☐#0 0<0 ☐>O
X
Ś
(d) Find the p-value. (Round to three or more decimal places.)
0
(e) Can we support the claim that the mean annual income of childcare workers
in Texas is less than the mean annual income of childcare workers in
Explanation
Check
© 2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility
$10
3
|x
X
<Q
n
A
Transcribed Image Text:Español A nationwide job recruiting firm wants to compare the annual incomes for childcare workers in Texas and Indiana. Due to recent trends in the childcare industry, the firm suspects that the mean annual income of childcare workers in Texas is less than the mean annual income of childcare workers in Indiana. To see if this is true, the firm selected a random sample of 25 childcare workers from Texas and an independent random sample of 25 childcare workers from Indiana and asked them to report their mean annual income. The data obtained were as follows. Annual income in dollars Texas 30111, 35543, 34245, 42733, 40077, 25500, 35332, 28216, 38243, 37548, 34262, 31505, 37073, 31673, 33941, 32640, 27860, 29796, 32562, 39692, 35943, 40878, 48072, 29502, 32661 Indiana 42600, 30305, 34336, 42456, 34420, 30744, 38497, 38950, 40314, 32071, 37746, 43031, 37645, 41701, 43402, 33090, 39851, 36107, 45694, 32670, 39027, 39030, 43787, 44748, 40842 Send data to calculator V Send data to Excel Aa The population standard deviation for the annual incomes of childcare workers in Texas and in Indiana are estimated as 6200 and 6500, respectively. It is also known that both populations are approximately normally distributed. At the 0.01 level of significance, is there sufficient evidence to support the claim that the mean annual income, μ₁, of childcare workers in Texas is less than the mean annual income, μ2, of childcare workers in Indiana? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternative hypothesis H₁. O р S Ho H₁ :0 (b) Determine the type of test statistic to use. 0=0 ☐≤O 0²0 (Choose one) ▼ (c) Find the value of the test statistic. (Round to three or more decimal places.) ☐#0 0<0 ☐>O X Ś (d) Find the p-value. (Round to three or more decimal places.) 0 (e) Can we support the claim that the mean annual income of childcare workers in Texas is less than the mean annual income of childcare workers in Explanation Check © 2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility $10 3 |x X <Q n A
20
The population standard deviation for the annual incomes of childcare workers in Texas and in Indiana are estimated as 6200 and 6500, respectively. It is also
known that both populations are approximately normally distributed. At the 0.01 level of significance, is there sufficient evidence to support the claim that the
mean annual income, μ₁, of childcare workers in Texas is less than the mean annual income, μ₂, of childcare workers in Indiana? Perform a one-tailed test. Then
complete the parts below.
Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.)
(a) State the null hypothesis Ho and the alternative hypothesis H₁.
O
Р
Aa
Ho
:
S
H₁ :0
(b) Determine the type of test statistic to use.
OSO
020
(Choose one)
(c) Find the value of the test statistic. (Round to three or more decimal places.)
0<0 0>0
0
Ś
?
(d) Find the p-value. (Round to three or more decimal places.)
0
(e) Can we support the claim that the mean annual income of childcare workers
in Texas is less than the mean annual income of childcare workers in
Indiana?
Yes No
2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility
Explanation
Check
3
XI
0#0
X
<Q
DE
18-
Transcribed Image Text:20 The population standard deviation for the annual incomes of childcare workers in Texas and in Indiana are estimated as 6200 and 6500, respectively. It is also known that both populations are approximately normally distributed. At the 0.01 level of significance, is there sufficient evidence to support the claim that the mean annual income, μ₁, of childcare workers in Texas is less than the mean annual income, μ₂, of childcare workers in Indiana? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to at least three decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternative hypothesis H₁. O Р Aa Ho : S H₁ :0 (b) Determine the type of test statistic to use. OSO 020 (Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) 0<0 0>0 0 Ś ? (d) Find the p-value. (Round to three or more decimal places.) 0 (e) Can we support the claim that the mean annual income of childcare workers in Texas is less than the mean annual income of childcare workers in Indiana? Yes No 2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility Explanation Check 3 XI 0#0 X <Q DE 18-
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