PRACTICE OF STATS - 1 TERM ACCESS CODE
PRACTICE OF STATS - 1 TERM ACCESS CODE
4th Edition
ISBN: 9781319403348
Author: BALDI
Publisher: Macmillan Higher Education
Question
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Chapter 22, Problem 22.8AYK

(a)

To determine

To find:

Theexpected cell counts if the hypothesis is true of the given table.

(a)

Expert Solution
Check Mark

Explanation of Solution

Given:

    Landing posture3cm5cm10cm20cm
    Upright 20232729
    No upright10731
    Sample size30303030

Concept used:

Formula

  p=xn

Significance level

  α=1confidenceα=10.95

Calculation:

Parameter p= sample proportion

The best point of estimate of p is sample proportion

Since the sample size are large.

The condition for the two samples z test are met.

Applying chi-square test of independence

  Ei=rowtotal×columntotalgrandtotal

Draw the first table

    Landing posture3cm5cm10cm20cmTotal
    Upright 24.750024.750024.750024.750099
    No upright5.25005.25005.25005.250021
    Sample size30303030120

(b)

To determine

To find:

Therelationship of the components in combination with the column percent of land upright dropping from 3cm,5cm,10cm,20cm of the given table.

(b)

Expert Solution
Check Mark

Answer to Problem 22.8AYK

  96.667%

Explanation of Solution

Given:

    Landing posture3cm5cm10cm20cm
    Upright 20232729
    No upright10731
    Sample size30303030

Concept used:

Formula

  p=xn

Significance level

  α=1confidenceα=10.95

Calculation:

Since the sample size are large.

The condition for the two samples z test are met.

Applying chi-square test of independence

Chi-square χ2=(OiEi)2Ei

Draw the second table

    Landing posture3cm5cm10cm20cmTotal
    Upright 0.9120.1240.2050.7301.9697
    No upright4.2980.5830.9643.4409.2857
    Total 5.20920.70711.16884.170311.2554

Test statistic χ2

  =11.255

  pvalue=0.0104

For aphids land upright when dropping from 20cm

The percentage

  =noofaphidslanduprightn×100=2730×100=96.667%

(c)

To determine

To explain:

The expected cell counts and chi-square relation if the hypothesis is true of the given table.

(c)

Expert Solution
Check Mark

Explanation of Solution

Given:

    Landing posture3cm5cm10cm20cm
    Upright 20232729
    No upright10731
    Sample size30303030

Concept used:

Formula

  p=xn

Significance level

  α=1confidenceα=10.95

Calculation:

Since the sample size are large.

The condition for the two samples z test are met.

Applying chi-square test of independence

  Ei=rowtotal×columntotalgrandtotal

Draw the first table

    Landing posture3cm5cm10cm20cmTotal
    Upright 24.750024.750024.750024.750099
    No upright5.25005.25005.25005.250021
    Sample size30303030120

Chi-square χ2=(OiEi)2Ei

Draw the second table

    Landing posture3cm5cm10cm20cmTotal
    Upright 0.9120.1240.2050.7301.9697
    No upright4.2980.5830.9643.4409.2857
    Total 5.20920.70711.16884.170311.2554

Test statistic χ2

  =11.255

  pvalue=0.0104

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Bob and Teresa each collect their own samples to test the same hypothesis. Bob’s p-value turns out to be 0.05, and Teresa’s turns out to be 0.01. Why don’t Bob and Teresa get the same p-values? Who has stronger evidence against the null hypothesis: Bob or Teresa?
Review a classmate's Main Post. 1. State if you agree or disagree with the choices made for additional analysis that can be done beyond the frequency table. 2. Choose a measure of central tendency (mean, median, mode) that you would like to compute with the data beyond the frequency table. Complete either a or b below. a. Explain how that analysis can help you understand the data better. b. If you are currently unable to do that analysis, what do you think you could do to make it possible? If you do not think you can do anything, explain why it is not possible.
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