A null and alternative hypothesis are given. Determine whether the hypothesis test is​ left-tailed, right-tailed, or​ two-tailed.   H0​: μ = 5.2 Ha​: μ ≠ 5.

Hand written please.

can anyone help me with the second and third question of this we did the first one. But, I am having trouble completing the sensitivity analysis.   Background Mike Ibanez had a big decision to make. He had inherited his families vegetable business. Ibanez Produce grew, harvested, packaged, and sold produce. Mike was concerned because a large storm was approaching and he had to make a decision regarding his lettuce crop. Ibanez Produce had around 10,000 acres in cultivation and lettuce made up around 25% of the total crop value. Mike's concern was that the storm might bring severe winds and dust. Rain was not a major concern, but high winds and blowing dust reeked havoc on the lettuce crop. The high winds generally tear apart the lettuce and the dust renders the crop almost unsalvageable. The Solution From his Father's records, he had read that if he applied water combined with standard wax a residue would form on the lettuce and the crop could be saved. He knew that if the storm did…

Value of static for sample mean 12 population mean 16 s.d. 24 and sample size 36 will be Select one: a. 3 b. .5 C.-1 d. 1.5

You are conducting a test of homogeneity for the claim that two different populations have the same proportions of the following two characteristics. Here is the sample data. Category A B Population Population #1 #2 34 46 100 15 What is the chi-square test-statistic for this data? x² = Report all answers accurate to three decimal places. Submit Question

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I would like help in parts b-d please. Thank you!

Part of an R output relating X (independent variable) and Y (dependent variable) is shown below. This analysis is based on 11 observations. Using what you know about how all of these values are related, fill in the remaining blanks. Round your answers to 4 decimals in Model Summary box. Round your answers to 2 decimals in the ANOVA table and beyond. Model Summary (4 decimal places each) R R-Squared Adj. R-Squared Pred. R-Squared Source Regression Residual Total ANOVA (2 decimal places each, where necessary) Sum of Squares X Model (Intercept) 0.3632 0.515 1000 RMSE Parameter Estimates (2 decimal places each) Beta Coef. Var. df 29.48 5.7871 Std. Error Std. Beta 0.699 Mean Square -0.72 t F Sig. 3.79 0.0043 -3.091 0.0129 Sig 0.0129

Answer (4,5,6) with complete solutions

please help solve below questions pertaining to attached image find the test statisitic find the p value State the conclusion for the test.   A. Reject the null hypothesis. There is sufficient evidence to support the claim that archbishops have lower mean longevity than monarchs.   B. Fail to reject the null hypothesis. There is sufficient evidence to support the claim that archbishops have lower mean longevity than monarchs.   C. Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that archbishops have lower mean longevity than monarchs. D. Reject the null hypothesis. There is not sufficient evidence to support the claim that archbishops have lower mean longevity than monarchs.